Day 8 of the #30DayMapChallenge is colored a rather fetching shade of green. Kandinsky Map in Green No. 2 is an interactive abstract map of the world featuring a number of different verdant shades. https://t.co/Nuib1lmZrg
By gmapsmania (@gmapsmania)
Day22 #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge Map 05. Raster El raster que más han ayudado a la transformación digital de la agricultura son imagenes #sentinel2 @CopernicusEU @ESA_EO Hoy recordaré post @iagua sobre Series Temporales de imagenes de satélite para un riego SMART https://t.co/qJ3gElk8cx
By Ignasi Servià (@iservia)
Residential and Office buildings by 100m hextiles in Helsinki by their distance to the nearest HSL Public Transportation Stop. Built with Alteryx & Tableau. Interactive version found at: https://t.co/CkqDFCPGMM #30DayMapChallenge Day 4: Hexagons
By Jaakko Wanhalinna (@JWanhalinna)
Just a lazy quickie, I wanted to play with Orange and Teal. #30DayMapChallenge
By cartocalypse (@cartocalypse)
DAY 14 - #Boundaries #30daymapchallenge
By PJ #GISTonicker (@pj_go_2020)
@tjukanov #30DayMapChallenge Day 12- Movement Visualization of disabled population 2011 #census India #kml @googleearth using #fme @SafeSoftware @CensusIndia2021
By SRG (@Saint_GIS)
Día 12: Movimiento / #Atëëjtsïn #ujx #ayuujk Ubicación de los epicentros de los sismos del 2019 en la #RegiónMixe. Al estar próximos a la zona más sísmica de México, también ha habido epicentros de sismos en la región. #30daymapchallenge Datos del @ssn_mx
By Colmix (@Colmixe)
Day 6 - #30DayMapChallenge #Blue I Conoce las corrientes de agua que tiene Bogotá formadas por sus ríos, quebradas, canales, caños, chorros y drenajes 👉 https://t.co/ndodPtIP6F #LaIDEdeBogotá
By Catastro Bogotá (@CatastroBogota)
#30DayMapChallenge 9. Yellow 🍺🍺🍺 Breweries density in France 🍺🍺🍺 Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge 9. Yellow 👏 For the "yellow" day i made a map based on a database of existing gold deposits for 103 countries In case you didn't know The top 10 gold producers (2018) are 🇨🇳 🇦🇺 🇷🇺 🇺🇸 🇨🇦 🇮🇩 🇵🇪 🇿🇦 🇲🇽 🇬🇭 #dataviz #data #maps #ggplot #rstats #GIS #gold #world
By Olga Kononykhina (@bettermeasured)
Day 25 of the #30DayMapChallenge : Climate…All the beautiful rain last week at home in the valley of the sun from @NOAA #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge 2. Lines: Cyclone tracks of the West Pacific. Brighter tracks mean stronger cyclones. The Philippines says hello to lots of them yearly hehehuhu. Tracks from IBtRACS; island shapes copyright @openstreetmap contributors; made with @qgis #mapmaker #pacific
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge nr. 17, "Zones". Met strippenkaarten leerde je het vanzelf, hoeveel zones je busreis zou bevatten. Niet dat het volgens CC-PDM 1.0 hoeft, maar provincies Gelderland en Overijssel verdienen wel een vermelding als leverancier van de brondata voor deze kaart.
By Bart Broex (@bbroex)
Day 10, #30DayMapChallenge - Black and White Halfway through nightfall on shortest and longest nights. At a meta level it is a map showing the effects of the Earth's axial wobble. My big challenge was thinking of anything binary enough to be B&W Code https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge Day 11: Elevation Digital Elevation Model of Santiago and their urban stain / Modelo digital de elevación de Santiago y su mancha urbana Data from @NASA_es
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day3: polygons Polygon grid of NOx emissions in West São Paulo using #VEIN #rstats. More details of my VEINBOOK https://t.co/LqKBArr8Dg https://t.co/BMbBkiZ2GU #Atmosphere #atmoschem
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30daymapchallenge 11 - elevation 1 for the cyclists. Box Hill (looking SE-ish). R arrow in bottom right shows that big roundabout on the approach. You know the 1. Hang a right, sip of water&away you go. EA lidar data (1m). Processed+styled in #qgis. Colour palette a bit 🤷🏻 ♀️
By A. D. Mac (@AdiBop_)
Missed two days due to work commitments but it's weekend now so here is the contribution for today's #30DayMapChallenge - Day 23: Population ➡️ Mapping changes in annual rates of population growth by country. #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer)
Environment is the theme for today's #30DayMapChallenge. Here's all forested areas in Atlanta, based on 2011 NLCD data with some SRTM hillshading thrown in. Map in @qgis .
By Jerry Shannon (@jerry_shannon)
Day 7 of #30DayMapChallenge - Red #qgis #Rennes #opendata #mobilité @metropolerennes
By Ben (@benfriin)
(1/2) #30DayMapChallenge 10. Black&White- CoastalRegions(1)+FatalRoadAccidents(2) -info(1): https://t.co/QmofhX1AMx -visu(1):https://t.co/45SCro5uVf -data(2): https://t.co/AvXxZX9U3z -visu(2): https://t.co/Fxoe3cH5zS -by @EU_Eurostat E4 team -20days2go -Soft:IMAGE,ArcGIs,Leaflet
By hannes reuter (@hireuter)
#30DayMapChallenge day10 #blackandwhite Tweets map of #Juventus #Milan the concentration of tweets are on #SanSiro #meazza #stadium
By PJ #GISTonicker (@pj_go_2020)
@Syracuse1848 @SyracuseU @OnondagaCounty #30DayMapChallenge Day 17: Zones American Community Survey Poverty Rates overlayed with Opportunity Zone Census Tracts (borders in green) in @Syracuse1848 Tools: #AGOL #ArcGIS
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Day 19 #Urban 🏙️Localidades urbanas en México #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 3: Polygons French localities filtered by name 1. Ending with -ac 2. Containing "Saint(e)(s)" in the name Color is based on french flag and assigned by department number. Data: GEOFLA Tools: QGIS, Python RCS: RGF93 / Lambert-93
By Emmanuel R (@Emmanue17939044)
#30DayMapChallenge Day 13 - Tracks. What's the longest track you've ever ridden? Mine was 2731 miles racing the Tour Divide from Canada to Mexico earlier this year. Here's the route overview and elevation profile. Also, my story : https://t.co/f7mTYURr7f
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Not much time today for day 5 on raster data and the high-res DGM of Germany was too big to do fancy things in such short time - so here is a simple elevation map🤷️ #ggplot2 #tidyverse #rstats
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 19: Urban How diverse is the use of urban land in Santiago? / Qué tan diverso es el uso del suelo urbano en Santiago? Map of Theil entropy index using data of @SII_Chile and @idecedeus / Mapa del índice de entropía de Theil
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 15: Places - Here, There and Everywhere Tools: @ArcGISPro (Another @John_M_Nelson gem). I’ve got a busy weekend w/ dance, ice skating, bowling, and hiking but I fueled up early on coffee and made this geoplaces in the US map. Give a guess at the theme….
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge day 24: Statistics mean, min, max and sd of cars traffic flow by age of use on west São Paulo #rstats #vein
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Day 16 of #30DayMapChallenge: Places A map of our followers with GIS in their profile
By Tweepsmap (@tweepsmap)
Day 3 of the #30DayMapChallenge is polygons. Here are some football stadia footprint polygons derived from os #zoomstack (and a bit of #osm)
By Sam J (@samwise_v)
#30DayMapChallenge Day 2 - lines Finnish road and street network (#digiroad). Highlighted in yellow/green are roads and streets with name ending in ’katu’, ’kuja’, ’polku’ (in English ’street’, ’alley’ and ’path’, respectively).
By Thomas Banafa (@ThomasBanafa)
#30DayMapChallenge Day 4. Hex Kansas land cover data as Settlers of Catan tiles. 2016 NLCD data from https://t.co/ybNyRem4dv & pattern fills from USGS & NPS.
By Travis White (@visualvariable)
#30DayMapChallenge day 19: some #urban maps of crossroads in @GemeenteKontich // #MadeWithQGIS // data from @openstreetmap
By Michel Stuyts 🌍 (@michelstuyts)
Day 12: Movement. June 2019 NYC Taxi Pickups, Manhattan. #30DayMapChallenge
By Ariel Kadouri (@akadouri)
#30DayMapChallenge Day 28 #Funny 🥳🎉 Salones de fiesta en la Ciudad de México #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 10 "Comment c'est loin" la préfecture? How far is it to the prefecture? #QGIS @ors_news
By JulGrrd (@GrrdJul)
#30DayMapChallenge Day 6: Blue. Word blue in different (not all) European languages.
By Zlata Popelnuh (@popelnuhh)
Late to day 2 of the #30DayMapChallenge – Lines: Aqueducts in ancient Rome brought water for drinking, irrigation and baths to parts of the empire. Here’s a closeup of Rome, data from @AWMC_UNC
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 21 : Environment - Sites Seveso dans le Nord #Nord #RStats #OpenData https://t.co/gQ5sbOpMgb
By Cécile Rodrigues (@Grisoudre)
Exploring Helsinki (+Espoo) city bike statistics from August 2019. Data: https://t.co/uHRvEWCtSK #30DayMapChallenge Day 24: Statistics
By Topi Tjukanov (@tjukanov) in Finland
Pour le jour 4 du #30DayMapChallenge dédié aux #Hexagones. Je vous propose de regarder d'où viennent les différentes espèces d'abeilles les plus répandues. #lagéoçasedessine
By Justine Vignat (@Junevgt)
Buildings in Madrid 🇪🇸. Darker the shade of red, older the building. Day 7 of #30DayMapChallenge.
By Topi Tjukanov (@tjukanov) in Finland
Origines géographiques des immigrés en France : une cartographie pour analyser d’où provient près de 10% de la population française. #30DayMapChallenge @InseeFr https://t.co/36J1K6YQbN
By visualizemap (@visualizemap)
#30DayMapChallenge day 29: an #experimental map - showing #dhm data in a spreadsheet.
By Michel Stuyts 🌍 (@michelstuyts)
"24 shades of orange" East Anglia topo 10 m contours from @OrdnanceSurvey #OpenData #30DayMapChallenge
By Andrew Zolnai (@azolnai)
#30DayMapChallenge day 12 - Movement. Using the Leaflet.Polyline.SnakeAnim plug-in to map the first 40 years of the London Underground. https://t.co/Xxe5Qu3xVk
By gmapsmania (@gmapsmania)
Day 3 of #30DayMapChallenge (Polygons) - Christchurch Parks and Green Spaces Data from OSM, made with QGIS
By Andrew DC (@andrewdc_nz)
Day 2 of the #30DayMapChallenge: Lines. Earthquakes are the biggest natural peril risk in NZ, and I often wonder how a big EQ would affect infrastructure, electricity etc. I plotted the major faultlines and powerlines, along with the biggest EQs we've seen in the past yr.
By Emma Vitz (@EmmaVitz) in New Zealand
Excited to take part in the #30DayMapChallenge this November! Here we go! Day 1: One-day snapshot of mobile phone locations in Estonia (topic: points) #maps #mobiledata #estonia @tjukanov #datapoints #dataviz
By Positium (@positium)
#30DayMapChallenge Day 20: Rural. Remnants of an oxbow river overtaken by farms in the Wairarapa. Wellington DSM blended with aerial imagery. It took a lot of fiddling to get the river to stand out in this image. Data @LINZLDS. Made with @QGIS and other @OSGeo tools.
By XYCarto (@XyCarto)
Day 4 of #30DayMapChallenge: hexagons. Bus stop density in Auckland, #NewZealand. Data from @openstreetmap Code: https://t.co/0ZD1T2uyb5
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Day 8 (green) of #30DayMapChallenge : On Day 4, we posted a map of Estonian outbound tourists. This is a closer look at where Estonian tourists have travelled in Europe. #map #tourism #mobiledata #europe #travel #datascience #dataviz https://t.co/cypqodGYb3
By Positium (@positium)
@fenwaypark Day nine of the #30DayMapChallenge (yellow)... Animating all 204 of Nelson Cruz #MLB leading home runs since 2015
By Daren Willman (@darenw)
Day 28 (funny): Last year, one of our colleagues moved to #Iceland to continue her studies. The team made her a #map so that she could safely navigate the new country and find her way home. #30DayMapChallenge #HomeAndAway
By Positium (@positium)
#30DayMapChallenge nr. 6, "Blue" en ja het is een dag te laat. Welke straatnamen in Utrecht dragen iets blauws in zich? En een verre voorganger in dit vakgebied verdient een naamsvermelding, met zo'n thema.
By Bart Broex (@bbroex)
Map 27 on resources for the #30DayMapChallenge. Groundwater is a scarce resource, yet vital for all life. #water #resources #maps
By Positium (@positium)
Day 29 of #30DayMapChallenge: experimental. The year is 2050. Cartographers have seized power. Alaska and Hawaii have been jettisoned. Area boundaries are now compatible with hexbinning and counties scaled to population. City names are generated from Twitter streams. All is well.
By Jerry Shannon (@jerry_shannon)
Day 3 polygons #30DayMapChallenge I discovered some family history while looking at Sydney heritage data, so of course it went in :) (if it's of interest I can turn the labels on for everything; that was taking tooo long to get right).
By Kylie Wilson (@_kyliejane)
OSM Coastline #30DayMapChallenge Source: OSM/ https://t.co/Np5n0AAFVH
By Justin Meyers (@MapMakinMeyers) in USA
#30DayMapChallenge For today I went back to the fun vector style in #QGIS and a place I have somehow never mapped before, the #Philippines. All data from SRTM and Natural Earth.
By Carl Churchill (@Cchurchili)
Percentage chance of being able to find a free DublinBike at a station between 8 and 9 am #30DayMapChallenge #Day24 #Population Needs to be filtered for weekdays and controlled for rainy days, but still interesting.
By Heikki Vesanto (@HeikkiVesanto)
day.13 my.tracks 2012-2015 #30DayMapChallenge
By carolina passos (@carolpos)
Red. Alive beef visited Helsinki this week. Beef can also be slang. Beef is red and it is produced. Here's how it changed during 2014-2018. Data: @LukeFinland, @Tilastokeskus #30DayMapChallenge #beef #maatalous #naudanliha #liha #nauta #eläimyys
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge Day 12 - Movement Lunchtime walk around Arup Campus, made with Blender using @Strava data
By Owen Powell (@owenjpowell)
#30DayMapChallenge Day 26: Hydrology. The Swiss River network coloured according to the language of the national river name. Red = French, Gold = German, Green = Italien and last but not least Blue = Romansh.
By Mark Wigley (@mwigley2)
#30DayMapChallenge Day 9 #Yellow 🌴🍌🌴🍌 Banana Production World Areas Source @CGIARclimate https://t.co/wXTswHmbL6 Using: @qgis #gischat #ClimateSmartAgriculture #Geograpy
By Diego Pajarito G. (@diegopajarito)
Because of a lot on, here is an early day 11 & 12 thing for #30DayMapChallenge Solidearthtide change (Movement) in Elevation and north-south distance between Kaitaia and Bluff at opposite ends of New Zealand for 15 minute steps on 2019-11-11 UTC code: https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
Day 11 of the #30DayMapChallenge with the theme Elevation. Today I mapped the elevation of a sample of 1 million dwellings across New Zealand ⛰️📏#rstats #spatial
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 13: Tracks. Not had much time today and seem to have lost most of my GPS tracks but here are some of my remaining ski tracks from last year
By Sam J (@samwise_v)
#30DayMapChallenge Day 4. DEnsity of Google places in Tartu, Estonia topic: 'hexagons'
By Anto Aasa (@antoaasa)
@Syracuse1848 @SyracuseU #30DayMapChallenge Day 15: Names Street Names in @OnondagaCounty colored by street name type - lots of "Roads" in the county and "Streets" in @Syracuse1848 Data: https://t.co/CEH7gzAPRD Code: https://t.co/6Ifx2n3Kz5 Tools: #ggplot2 #RStats #opendata
By Sam Edelstein (@samedelstein)
Day 29 of #30DayMapChallenge – Experimental: Interactive 3D Climbing Topo https://t.co/HCCr4ySLPM
By Andrew Tyrrell (@SouthArrowMaps)
Population change in southern Finland between 2005 and 2018. In the red 1 x 1 km squares population has decreased with more than five people and in the yellow squares there has been similar increase. #30DayMapChallenge Day 23: population.
By Topi Tjukanov (@tjukanov) in Finland
Day 11 Elevation #30DayMapChallenge. Raised sea beds after the Kaikoura earthquake https://t.co/76EznNCBeN
By Kim Fitter (@Kim_Fitter)
Here's the relative population density of inner Sydney #30DayMapChallenge Day 23: population.
By Hugh Saalmans (@minus34)
#30DayMapChallenge Day 2 Lines. I had NO idea how to do this one until I realised that my Strava traces were lines. So this is my run up and down Ingleborough, Yorkshire, England. Tools used: my legs(!), Strava, and I learned new things in #rstats about lines and background maps
By Fiona Tweedie (@fjtweedie)
#30DayMapChallenge Day 26. Hydrology. As usual, I tried a lot of things from Teno river meanders to sea level fluctuations. And what did I come up with in the end? Africa. QGIS, natural earth rivers, mask for continent. Interesting also to notice that no rivers in Sahara. Daaa 🤷️
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 25: Climate. Probability of a White Christmas in the Continental US...in felt. A generalized remake of the original NOAA map with felt symbols. Original map here: https://t.co/AnyiiPHAe0
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 23. Population... of oil palm plantations in Asia (yes yes, obsession) https://t.co/oVqjJByBNK
By Agnès Stienne (@odilon72)
Day 14 of #30DayMapChallenge: Boundaries A map of accounts we follow
By Tweepsmap (@tweepsmap)
#30DayMapChallenge Day 2: Lines The mighty Waikato River – New Zealand’s largest river its tributaries. Data: MfE (https://t.co/uTCQQO206M) REC 2010, LINZ Coastline, made with QGIS.
By Hamish Campbell (@polemic)
¿Cuántas personas con VIH reciben tratamiento? En mi #30DayMapChallenge de hoy les traigo este interesante dato. En 2018, a nivel mundial 37.9m de personas viven con VIH, 23.3m reciben tratamiento, 62% toman retrovirales. México está sobre la media, 70% recibe tratamiento. Adeus
By Frida Celis (@frida_celis)
#30DayMapChallenge 1. Points One tiny point per 10 people found from the @EU_Eurostat population grid.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Day 8 #Green 🌳🌱🌿 Green spaces in Mexico City #QGIS
By Carmen Carro (@CarmenCarro_)
Day 6 of the #30DayMapChallenge, with the theme Blue. This map shows changes to the Burrendong Dam in NSW, Australia over the past 2 years. I do quite a bit of work on climate change in Australia, and here you can really see the drought in action.
By Emma Vitz (@EmmaVitz) in New Zealand
Tasa de policías preventivos estatales x 100 mil habitantes en 2018, México. #30DayMapChallenge Day 06 - Blue.
By Daniel Vigil (@d_vigilr)
For day 5 of the #30DayMapChallenge (Rasters) I’m re-sharing my #Airbnb Gentrification Vulnerability Index for Dublin, created using @InsideAirbnb data
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 19-20 Urban Rural ⏩ Urban/Rural municipalities national typology by @InseeFr
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge 26. Hydrology: Bathymetry of the Baltic Sea along the Estonian coast together with the elevation map of Estonia
By Evelyn (@evelynuuemaa)
"How to fake a sunrise effect using only a DEM over imagery": Hacking a DEM Sunrise by @John_M_Nelson. 👉 https://t.co/YyPpxkPaz9 #30DayMapChallenge #elevation #Alpenglühen #ArcGIS
By Esri Deutschland (@Esri_de)
#30DayMapChallenge 23. Population - too many ways to vis it - we have in our organisation at least three😉 - each looking a bit different -data: https://t.co/Um5CtNpnL8 -code: https://t.co/TNpHe62dQH -contributions @EU_Eurostat E4 team - 7days2go #GISCO
By hannes reuter (@hireuter)
1 week of flying for a single airplane: @Ryanair EI-DYP Boeing 737-800 #30DayMapChallenge #Day2 Lines Pretty impressive logistical challenge to plan the airline routes Data from @flightaware
By Heikki Vesanto (@HeikkiVesanto)
@tjukanov excited about #30DayMapChallenge and here is one for Day 4. "Dynamic knowledge production in Finland over 10 years" One point = 1 scientific publicaiton *tiny hexagons but important ones! :) #science #Datavisualization #gischat #geography #cartography #dataviz
By Arash Hajikhani (@Arash_Hajikhani)
#30DayMapChallenge day 12, movement. A winter (2015) of airflow to the Pisa Range, Central Otago. Trajectories from the @NOAA hysplit model, which I ran via a matlab wrapper (which also plots the maps and makes the animation) #spatial #climate #snow #NZ
By Todd Redpath (@toddrednz)
#30DayMapChallenge | Day 14: Boundaries Delineation of cross-border areas in Europe based on travel time to border crossing points. - Germany + Poland - Portugal + Spain - Italy + France (I'll post more cases throughout the day)
By FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰 (@filipebatsilv)
Categoría: #DEM #RASTER Geoprocesamiento: Modelo Digital de Elevación a partir de Curvas de Nivel AOI: Cuenca Río Santiago, Jalisco . México Fuente: Cartas Topográficas 1:50k. INEGI #30DayMapChallenge
By Edgar Daniel (@edaniel_ramirez)
@tjukanov #30DayMapChallenge Day 30-Home - Night Shelters for #Homeless #Chennai @opencity_in @chennaicorp @openstreetmap using #fme @SafeSoftware @qgis
By SRG (@Saint_GIS)
Day 13: Tracks A small subset of yesterday’s data –just the northbound tracks of one bird named Leo. The colours are coded to match the dates across all 4 years. I am just amazed at how closely the paths match. I could play with data from @MovebankTeam all day #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
@Tutuchan @OSM_FR @opendatasoft_fr #30DayMapChallenge with #rspatial 12/30. Movement. Creating an animation using function tmap_animation. My own personal and @thinkR_fr movements from January 1st to -planned- December 31st in 2019 with {tmap}🚂🚃🚃. #rstats Can you guess where I live?🏠
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge 13. Tracks - EU investment in Trans-European Transport Network, 2019 - info at https://t.co/MPQEKi5B8f - vis at https://t.co/yrdjwCpjRQ - joined contributions from our @EU_Eurostat E4 Team - 17days2go
By hannes reuter (@hireuter)
Day 21: Environment #30DayMapChallenge Threatened Environments Classification (2012) Data: https://t.co/Rh5mGPl3M7
By Leo (@hendrikxleo)
#30daymapchallenge day 25, 'Climate'. One of our most popular #climate themed #lessons uses #ArcGISOnline #Survey123 & #storymaps to collect data, analyze local climate contributors/reducers and present findings. Free support/setup by emailing k12@esri.ca https://t.co/vgu6eQXN3k
By GIS for Education (@GIS4Teachers)
#30DayMapChallenge 25. Climate - Drought conditions (SPEI) March-August, 2018. Data+Vis:https://t.co/3V2j80smKv joined contributions by @EU_Eurostat E4 #GISCO Team - 5days2go - YES we are almost there.
By hannes reuter (@hireuter)
#30DayMapChallenge Day 8 - Green. I explored the @OrdnanceSurvey open green space data and got a 1st chance to play with the #QGIS data plotly plugin. I like it a lot! Here we can see that golf courses take up less space than religious grounds, which was a surprise.
By Ian Turton (@ijturton)
Day 2 theme of #30DayMapChallenge is line Here is a map of the street network of #Bangladesh downloaded from #OSM. Any idea why some places are more digitised and some are not? ;)
By Fahim Hossain (@fahimgeoarts)
#30DayMapChallenge Day 19: Urban. Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo.
By Craig Williams (@williamscraigm)
@tjukanov #30DayMapChallenge day 11: Elevation Atlas Tyrolensis, a 1774 map of #Tyrol by Peter Anich and Blasis Hueber, draped over a 3D elevation model. Data: https://t.co/Br5h8iP5xX https://t.co/7TMsmJIsWd Tool: QGIS @datagvat @VisitTirol
By Martin 🚡 (@MartinBangratz)
So for day 3 of #30DayMapChallenge the theme was polygons. I decided to make something pretty. Here is London rendered in green spaces and buildings only. I think it's quite pretty.
By Sweary Dave (@citizenfishy)
Black and white. Back to Porsas, again a lidar-derived DSM, but visualised with @blender_org. Other tools used: @rstudio, @qgis Lidar data: @HelsinkiKymp #30DayMapChallenge #blackandwhite #b3d #dsm #helsinki #porsas #lidar
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge Day 3: Polygons Flood Reoccurrence in Thailand 2005-2016 Made with #qgis Source: GISTDA #gis #map #maps #socialgeography #cartography #mapart #thailand #Floods #flood
By Note Dherapat (@prospero021)
Hoy toca 'environment' en el #30DayMapChallenge y supongo que se trata de hacer algo sobre el medio ambiente, pero yo opté por mi entorno y mi anterior entorno, y salió esto.
By Pedro Suárez (@pedro_com_es)
Day 11 of #30DayMapChallenge - elevation: Parts of New Zealand above certain elevations. I wanted to make this from the national DEM but the data is 18GB😬, so I used contours instead. Code: https://t.co/iZMcimWUGe
By Aaron Schiff (@aschiff)
Day 25 of the #30DayMapChallenge - Climate! I made my first animated map using the maximum monthly temperatures in Australia over the past year and a half. Australia has seen the extreme effects of climate change first hand, with extremely high temperatures and drought. #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge 2. Lines Last year almost nine million tourists visited Amsterdam, who mostly stay in the inner city. Which streets should you avoid if you're not into crowded places?
By LocalFocus (@LocalFocusNL)
1,847 diagnósticos de cáncer de mama según lugar de residencia en Jalisco, México; no importa la distancia, si hay conectividad hay más posibilidades de que las mujeres busquen atención oncológica #30DayMapChallenge
By Antonio Reyna S. (@GeografoSevilla)
5 hour travel times from Paris based on @here isochrone API. For today's #30DayMapChallenge I resurrected an old project file from my old laptop.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Day 6. Blue A simple map of bedrock wells of the High Plains Aquifer. Our current irrigation practices are depleting it faster than it can recharge. Data from Kansas DASC.
By Travis White (@visualvariable)
#30DayMapChallenge Día 1. Puntos. En este mapa se muestran los puntos de encharcamientos reportados ante protección Civil ocurridos en la porción Norte de la CDMX. #RStats con datos del Atlas de Riesgos de la CDMX de la @SGIRPC_CDMX
By Juvenal (@JuvenalCamposF)
'The Canberra bubble' - 2019 Federal Election, House of Representatives First Preferences By Party By Polling Place for ACT (or 'Why we're not to blame') #30DayMapChallenge late day 3 - polygons. #rstats #auspol
By Dan Miller (@data_nurse)
#30DayMapChallenge When I think of Polygons my mind goes immediately to geometric art, and nothing beats #Bauhaus. So, here is a Bauhaus-ified map of central #Denver. See if you can spot Mile High Stadium!
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 11. Elevation Using the Aspect/Slope function in Pro. https://t.co/PJUAIzaE9p
By Simon Jackson (@SimonGIS)
#30DayMapChallenge Day 7: Green - A little explorer app for sustainability projects (i.e. green projects) in and around Raleigh. Hurrah for @CARTO's wonderful CARTOframes Python library! https://t.co/Qs3NYMHKaJ
By maptastik (@maptastik)
Nearly finished with the #30DayMapChallenge! Day 29’s theme is #experimental, so to celebrate #BlackFriday2019, here’s a black and white @joydivision map of Dublin
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 26: Hydrology 💧 All the rivers of #Wales interpolated by their exaggerated terrain height. Such a challenge to get these gifs under 15mb, this looked a lot better as a video. Data via: https://t.co/wOT7xTIMZZ #maps #3d #animation
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge 14. Boundaries PDO/AOC and PGI/IGP are two official quality marks, dedicated to products whose reputation for quality is linked to a bounded geographical origin. Here are these boundaries, for the French ones. Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge 30. Home Last map with our ampelographic collection, for the preservation of rare regional grapevine varieties. Congratulations and many thanks to all #30DayMapChallenge folks !
By Romain Lx (@lacxrx)
3. Polygons #30DayMapChallenge Average years of schooling by state in Mexico (year 2015). Strong differences between north and south. Source: INEGI #QGIS #Mexico #Education #Map
By D. (@daniel_isita)
#30DayMapChallenge Day 1 – Points Excited to start this challenge, I must have at least that many unfinished projects on my desktop. This is my very first tweet, thought I’d start with something light. #gunviolence #ArcGISPro #WomenInGeospatial #Cartography #GIS
By Allison Cully (@AllisonCully) in Canada
Jumping in #30DayMapChallenge Day 8 Green New Zealand is arguable one of the best countries in the world for walking or "tramping". So, how many public tracks are there actually in and around the country? Using DOC open data see code here https://t.co/wQL2WHUNE2
By Kim Fitter (@Kim_Fitter)
#30DayMapChallenge Didn't have time for this one
By emil (@57x025)
#30DayMapChallenge 3 - Polygons "Amazon River Basin" viewed as a polygon @Mapbox @tableaupublic viz: https://t.co/L4UU1qx4s4
By Vinodh kumar V R (@VinodhDataArt)
Day 15 (names): Today I made a map that shows the locations of Mediterranean cities, from which the names also occur in other parts of the world. The size of the circles shows the frequency. The most common name is Santa Cruz, located on the island of Madeira #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day 3: Polygons. Europe's mean alcohol consumption based on national reports from different years. https://t.co/mbaqKITLKr
By Zlata Popelnuh (@popelnuhh)
Day 8 of #30DayMapChallenge - Green - Surfaces Agricoles Utilisées biologiques #bio #anamorphose #sau #agriculture @Min_Agriculture @agriculturebio
By Ben (@benfriin)
Day 3 of the #30DayMapChallenge Todays theme: Polygons. This map of the North Sea displays the cumulative hours fisshed in 2016 as voronoi polygons. Data: https://t.co/uPDA3R8Z2Y
By Leo (@hendrikxleo)
Day 24 of #30DayMapChallenge – Statistics. Going simple today… Two cuts from the same UNICEF dataset on malnutrition: First map is overview, second map shows which countries have a discrepancy between wealthy and poor populations.
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 14- boundaries USA-Mexican border 'wall' (fence, really). Most of it was built after the Secure Fence Act passed in 06'. Hopefully it won't grow into a wall. Zoom in for more details: https://t.co/OorqMKWTsh #rstats #GIS #rstatsES
By Daniela de los Santos (@danidlsa)
Day 6 Blue - Exploring #Bathymetry data for North West Europe from @EMODnet. For most of the North Sea, the depth of water is less than 100 metres. This includes the sunken landmass of Doggerland. 🌊🌊 #30DayMapChallenge #OceanWeek
By Brian Johnston (@Geo_BrianJ)
Struggled a bit with day 9 of the #30DayMapChallenge - Yellow! Here is a map and chart of Rapeseed (Canola) production. As I'm allergic to the pollen I am now dreading going to Canada next year for #foss4g2020. made with #QGIS
By Ian Turton (@ijturton)
Incendio Volcan de San Juan, cerca de Tepic Nayarit #30DayMapChallenge Raster, análisis con las Bandas: 2 azul, 8 NIR, 11 SWIR #Sentinel2 para visualizar en detalle la vegetación, 2017.
By Carlos Cortés (@jccpmx)
Dia 5: Ràster. Poca inspiració però sempre m'agrada fer quelcom amb els meus llocs preferits. I primer dia que jugo amb Blender ! Crec que m'agradarà! #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge @tjukanov day 24-statistics #dallol #Ethiopia #geothermal fields #Statistics most uninhabitable place on #Earth @googleearth visualization
By SRG (@Saint_GIS)
Day 2 (Lines) of #30DayMapChallenge. First time using QGIS 🧐
By Joaquin Beltran (@kimus_93)
How might a storm surge look like in Bergen, Norway, in 2090? I’ve combined storm surge estimates from @kartverket with satellite images from https://t.co/C7SCNIjWWC in QGIS. #30DayMapChallenge Day 5: Raster
By Jon Olav H. Eikenes (@jonolave)
Day 7 - Red #30DayMapChallenge I had already a map prepared with the tectonic plates, so I thought it would be a good entry if I added the volcano dataset from https://t.co/CUfwPoI4G8 I tried changing the center of the map to the Pacific Ocean but the shapefiles broke :S
By Irene de la Torre (@inari_ta)
#30DayMapChallenge Dia 10. Blanco y Negro (B&W). Mapa de densidad de población para el estado de Morelos. #RStatsEs con datos de https://t.co/HhWzFU3uoB
By Juvenal (@JuvenalCamposF)
Day 20 rural #30dayMapChallenge Yeah skipped some days but still determined to do them all :) For now doing what I had ideas & could find data for. Geo-referenced an 1894 map, hillshade, water to see the differences.
By Kylie Wilson (@_kyliejane)
Here's a boundary lost to history — the line drawn by The Treaty of Limits between the U.S. and The First Mexican Republic. #30DayMapChallenge Day 14. #Cartography #History
By Riley D. Champine (@rileydchampine)
Day 10 of the #30DayMapChallenge: Black & white. One thing I really want to do at some point is identify individual trees from LiDAR DSMs Q: How could I quantify & identify the "fluffy" nature of trees in the raster? (As opposed to buildings, which have very defined outlines)
By Emma Vitz (@EmmaVitz) in New Zealand
Not been able to anything today for #30DayMapChallenge other than an extremely rough and quick render of Sutton Park. At 2,400 acres it is apparently the largest urban park in Europe and - according to local legend - home to Barkfoot.
By Sam J (@samwise_v)
For this #30DayMapChallenge #⃣2⃣0⃣ (Rural) I have decided to go with a simple white background map showing the rural US counties. Made with #rstats #dataviz
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge Day 10 - Black and White. Black and white made me think of old films. I scraped every British black and white film title from Wikipedia and turned them into a geowordcloud. [please note, NO inset box for the Orkneys ;-)]
By Sweary Dave (@citizenfishy)
Day 5 of #30DayMapChallenge. I have to confess: I've never done a raster map before 🙈 so this is a bit unfinished. This map of Denmark is showing tree density data from CORINE downloaded it from kortforsyningen. The CORINE tree density value is % of coverage accdg to their site.
By Mika (@hailmika)
#30DayMapChallenge Día 27. Recursos. Conoce el inventario de potencial de generación de energías limpias en el estado de Jalisco, más información en https://t.co/7DELt33tCC
By IIEG Jalisco (@IIEGJ)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo #Day13 #30DayMapChallenge: Tracks. Different paths of my morning bike commute to @UNColombia. cc @simun_unal
By DoctorJ (@garciaart3)
Day 3 of the #30DayMapChallenge - #polygons UKBuildings polygons of #Newcastle and #Sunderland areas coloured by building height. Darker the red the higher the #building.
By GeomniUK (@GeomniUK)
#30DayMapChallenge Day 14: Names - City of Philadelphia Tools: @ArcGISPro (Draw Lines Using ONLY Label Text - One Minute Map Hack by @John_M_Nelson ). Not a lot of time today so a quick map hack of Philly w/ @NHLFlyers colors #broadstreetbullies #philly
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 1⃣1⃣ Elevation: This is why people love Italy 🇮🇹 you can ski in the mountains & sunbathe in the beach, visit volcanoes & have fun in the country side (not to mention art & food)! The @qgis map shows a 75m DTM available as a WMS from https://t.co/vXSNxCIPRw
By Marco Minghini (@MarcoMinghini) in Italy
Day 28 of the #30DayMapChallenge "Funny" 😂 - the contour of the town I grew up in always reminded me of Oddworld (I made this 4 years ago, but it deserves more views 👀 imo)
By Arnold Platon (@Arnold_Platon)
#30DayMapChallenge Day 7 - Red Conflicts in the world. Data: The Uppsala Conflict Data Program (UCDP)
By Abdishakur (@shakasom)
Tellement hâte d'être le 9 novembre que je vous avais servi la carte « jaune » de demain. Aujourd'hui donc dans le #30DayMapChallenge, on est sur du « vert » avec le passage du Tour de France (1903-2020), département par département.
By Pierre Breteau (@pierrebrt)
@tjukanov #30DayMapChallenge day 6: Blue Only blue metro lines in various cities. Data: OSM, Wikipedia Tools: QGIS, Excel, Adobe Illustrator
By Martin 🚡 (@MartinBangratz)
Day 8 green #30DayMapChallenge Green areas of French cities European Urban Atlas 2012. Show natural and human "green" (agriculture) Restricted use case to avoid managing too many data: only use 83 cities whereas 785 cities... Done with QGIS, PostGIS, ImageMagick, GDAL, bash, psql
By Thomas gratier (@ThomasG77)
#30DayMapChallenge 20. Rural - Older farm managers - % share of managers aged gt 65 years, 2019, info:https://t.co/cv0EKEHNyj, Statistical Atlas, vis:https://t.co/6VQgUyJujp - joined contributions by @EU_Eurostat E4 #GISCO #REGIO Team - 10days2go
By hannes reuter (@hireuter)
Day 3 (Polygons) - Visualisation of building footprints in #OpenCitiesAccra Project communities Alogboshie, Akweteyman & Alajo on #OpenStreetMap using @hotosm's Visualize Change. #30DayMapChallenge @MobileWebGhana @OSMGhana
By i'm HaWkrAd (@sammyhawkrad)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise #30DayMapChallenge nr 13 (tracks): All my runs, 2015-1019, Annotated. Used my @Runkeeper data to visualise my running habits over the last 5 years https://t.co/Igy12HV0ac
By Maarten Lambrechts (@maartenzam)
Day 18: Globe Tried to make a hollow globe. Strained my eyes AND my brain! #30DayMapChallenge #ArcGISPro #WomenInGeospatial
By Allison Cully (@AllisonCully) in Canada
A belated Day 4 of the #30DayMapChallenge, looking at how people who live in the Auckland CBD get to work. I walk to work and find it really interesting (and disappointing) how dependent Auckland is on cars.
By Emma Vitz (@EmmaVitz) in New Zealand
Isoterm of average temperature in Ukraine. #30DayMapChallenge Day 25: Climate Data: WorldClim Version2, #qgis, #saga
By gontsa (@gontsa)
@tjukanov #30DayMapChallenge Day 20-Rural #india State & UT wise rural population 2011 Census @DataPortalIndia #kml @googleearth using #fme @SafeSoftware icon size relative to rural #population
By SRG (@Saint_GIS)
The #30daymapchallenge goes urban today, and I just happened to have an early 2019 building dataset for an entire city on my hard drive. Here’s Utrecht, colour-coded by year-of-construction. #map #cartography #lovemaps
By One Stop Map (@onestopmap)
#30DayMapChallenge Day 7 - Red Pohutukawa season is just around the corner. This iconic coastal NZ tree blooms into deep red flowers as summer hits. This map of pohutukawa distribution hopefully looks a little like a pohutukawa itself, lol.
By Timmy (@gallicist)
#30DayMapChallenge Day 25 - Climate CO2 emissions are driving climate change. A car emits on average 4.6 metric tonnes per year. This map renders GB as total emissions per postcode district annually based on car ownership. The numbers scare the life out of me.
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Day 22: Build Environment 🏙️ The colourful dots you see here are the EPC ratings across domestic buildings in Brighton. Isn't it handy to see the data in this way rather than an excel spreadsheet? #datavisualisation
By Emu Analytics (@emu_info)
#30daymapchallenge Day 12 - Movement Golden Eagles tracking movement with #Plotly Python. Spending Winter Near Mexico and migrating Summer to Canada. Data: Movebank Data Repository
By Abdishakur (@shakasom)
#30DayMapChallenge Day 15: Names. Many populated places in the United States are named after places in England, Scotland, and Wales - so I matched them up and generated connecting lines to see what would emerge...
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 3⃣ Polygons: Classification of OSM building function in Milan, Italy using buildings from @openstreetmap & POIs from @openstreetmap, @facebook & @Foursquare, made with @qgis. Extracted from a paper written in 2018, available here: https://t.co/JnwtF9EyTE
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Raster <3
By Anamhoo (@Anamhoo)
Day 12 Movement #30DayMapChallenge. Where every horse/trainer travelled from today to take part in today's four meetings at Chelmsford City, Musselburgh, Kempton and Ludlow. And then returned to. I had to crop it as file was too big.
By AnthonyJ (@AnthonyJohnG)
Day 11: Elevation. Probably the highest tree in forests managed by Latvia's State Forests – spruce 44.3 m (according to LIDAR data). Location: Tērvete forest #LIDAR #30DayMapChallenge #lvmgeo
By LVM GEO (@lvmgeo)
Day 26 (hydrology): I made a map interpretation of the water balance equation (R = P - ET - ΔS). As you can see, most water is evaporated in water scare regions, such as here the southeast of Spain #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day 6: Blue
By Surface Libre (@surfacelibre)
Day 11 of the #30DayMapChallenge and I made an elevation map of a river catchment in the UK. Used a 5m DEM and hillshade layer to produce this map. Includes some zoomed in areas of the catchment. Can anyone name this river catchment which is from the North West of England?
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge Hexagons. Wasn't planning to do map today, because, well, work. But needed a break, and have wanted to learn to do hex bins. So my first ever hex bin map is single family housing in San Diego, CA.
By Barbara Kent (@SDGeoGirl)
#30DayMapChallenge 13: sliedes. Gulbenē ir lieliska vieta, kur šaurās un platās sliedes ir pamīšus, ir mazi jocīgi vagoniņi, un, iespējams, nekas netraucē aptaustīt griezules saulīti.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge 13. Tracks - Map of the Angel’s Landing hiking trail in Zion NP. (ugh ok I had to cheat again on this one and use an existing map- extra busy days make this challenge... challenging 🧐)
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge Dia 11. Elevación. Representación 3D del relieve de la región de los Altos de #Morelos (la región de donde provengo). Al fondo, el volcán #Popocatépetl . #RStats {rayshader} con datos del @USGS
By Juvenal (@JuvenalCamposF)
I'm STILL working on Day 4 of the #30DayMapChallenge (it turns out hexagons are quite tricky, or I'm managing to make them quite tricky), so for Day 5, here is one of my favourite raster images that I've made. I was experimenting with detecting rivers using sentinel data
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge, Day 19: #Urbansprawl. Urban #Cities keep expanding...@geospatialwomen.
By AB Ansah (@Ms_Pixels)
#30DayMapChallenge Day 14 #Boundaries 🚦 Social Vulnerability Index #QGIS
By Carmen Carro (@CarmenCarro_)
Sexo de Presidentes Municipales, versión 2, con mayor resolución. #30DayMapChallenge Polygons. La mayoría de "Sin info" los rige el sistema de "usos y costumbres" Gracias @YaNiPaper @drescamillag @claudiodanielpc @JCMtzAndrade
By Carlos Cortés (@jccpmx)
[EN] River Typology for #Switzerland groups the diversity of Swiss rivers according to abiotic, physiographic criteria, not considering anthropogenic impacts. https://t.co/18aQwCorKz by @foenCH #30DayMapChallenge #hydrology @EawagResearch
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge Day 30: Home: A family project. @jenniferaadams's great-grandparents homesteaded in Nebraska and her great-aunt wrote a book about it. I mapped the homestead location on top of modern NAIP imagery.
By Craig Williams (@williamscraigm)
Controversial map for Day 14 of #30DayMapChallenge – Boundaries. Sandwiches in New Jersey…… [hides]
By ಠ_ಠ (@DeniseDSLu)
Back to #30DayMapChallenge
By emil (@57x025)
#30DayMapChallenge day 13. Not even in the half way and this challenge is wearing me down😜. Tracks. Or track of a certain blue whale somewhere in the Pacific. No idea what he/she did. And some odd arrow lines, just for fun. This. Is. Experimental. Indeed.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 9 #Yellow ⚡️Electrical infrastructure #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 6: Blue. For our blue map @cristinapoiata and I sourced some data from the NCEI/WDS Global Historical Tsunami Database and mapped all validity 4 Tsunami source events from 1969-present in the Asia Pacific region. #cartography #geography #dataviz
By Richard Zimerman (@RichardZimerman)
#30DayMapChallenge Día 15. Nombres. En este mapa destacamos las localidades en Jalisco cuyo nombre termina en -illa, -illo. Por ejemplo: Manzanilla y Atenguillo. ¿Qué otros lugares conoces?
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 11: Elevation 🏔️ Full disclosure - This wasn't made today but is something I was working on before the challenge started and finished it recently. Here is the cinematic version of my experiments in 'Terrain Deformation' with music 😃 #map #3d #animation
By Craig Taylor (@CraigTaylorGIS)
For Day 3 of the #30DayMapChallenge, polygons, we’ve got a map of maps: an animation of all the bounding box footprints of the maps in our digital collections, from 1650 to 1950.
By Leventhal Map & Education Center at the BPL (@bplmaps)
#30DayMapChallenge 20. Rural - Central Prince Edward Island, Canada 🇨🇦 This map is basically just imagery, but I love rural countryside land patterns and I found this particular section of PEI incredibly intricate and beautiful.
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge Day 28 - Funny: Wawa World! Wawa's plan for northeast domination is clear in this store map animated by store number (Data from Wawa GeoScraper https://t.co/SoytG7qdEU; hoagie icon by Smashicons https://t.co/gHpSEOdFOj)
By Tim St. Onge (@TimStOnge)
Day 12 of the #30DayMapChallenge - #Movement When flying to create our detailed aerial #imagery of #London in 2016 we managed to capture a birds eye view image of a @British_Airways aircraft mid-flight 😲
By GeomniUK (@GeomniUK)
#30DayMapChallenge 8. Green 💚 I tried to map green areas of Malabo🇬🇶and then Gabon🇬🇦but OpenStreetMap data quality was bad. Instead, please check GoogleTrends of houseplant🌱🌿 searches around the globe🌍 #dataviz #data #maps #ggplot #rstats #GIS #houseplants #crazyplantlady
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 30: Home To finish up, the 135 populated places (again from Natural Earth) which lie within +/- 0.5 degrees long or lat from home.
By Flooh Perlot (@drawingdata)
#30DayMapChallenge, experimental: The world, if everyone adopted https://t.co/V8fCze3tQK CH1903+ LV95 "Swissgrid". I guess South Africa could be on board with this proposition? 🤔
By Ralph Straumann (@rastrau)
#30DayMapChallenge Day 19 urban and 20 rural together. Changed color to highlight the more rural place as red instead of the opposite most of the time :) Skipped day 18 globe (will catch up later)
By Thomas gratier (@ThomasG77)
#30DayMapChallenge Day 5: Blue Urban Built-up Areas of Bangkok and Thailand 1975 Made with #qgis Source: GHS-Built #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
#30DayMapChallenge 8. Green - Forest types from CORINE from the EEA(@EUEnvironment) embedded in the @CopernicusEU program (#Sentinel2+Landsat8 satellites), 2018 - data: https://t.co/kX9cJQSPrq -by @EU_Eurostat E4 team - 24days2go - Software: ArcGIS
By hannes reuter (@hireuter)
Day 12 of #30DayMapChallenge (movement): some people in Tartu (gps data)
By Anto Aasa (@antoaasa)
6. Blue #30DayMapChallenge Map showing the percentage of water supply for commercial use by state in Mexico. Data is from @INEGI_INFORMA #Map #QGIS #Water #Mexico
By D. (@daniel_isita)
#30DayMapChallenge: Black & White - Bristol @EnvAgencyGeomat 1m dsm lidar data using #Aerialod @ephtracy
By Michael Legg (@mjlegg)
Day 22 of the #30DayMapChallenge - Built Environment Can you name this town and building?👀 This image was taken on 19 September 2019 using a Midas camera that captures high resolution vertical and oblique imagery Detailed measurements and data can be derived from such imagery
By GeomniUK (@GeomniUK)
If you haven't noticed by now, my #30DayMapChallenge is an ad campaign for OpenStreetMap. Not much to add for Day 19:Urban, plainly plotting the building footprints for the City of London.
By Ariel Kadouri (@akadouri)
Day 9 of #30DayMapChallenge – Yellow: Nautical chart NZ7921 Milford Sound / Piopiotahi
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 9: green PM2.5 from @CopernicusECMWF model read with R WMS #rstats https://t.co/oz29XiiwVQ https://t.co/EJ4RVBhoTM
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
2. Lines Active Fault Lines and Trenches in Philippine Archipelago #30DayMapChallenge #Geology #gischat #geography #cartography #dataviz https://t.co/kC14GHaTTg
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
Putting up Day 18, Globe for #30DayMapChallenge a day early because of work. Globe projection of the NZ related hemisphere, hacking about @edzerpebesma demonstration code for cleaning clipping the edges of the hemisphere. My code, for the code part: https://t.co/D2zRhxqmRA
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge Day 7: Red. Somewhere in London.
By Zlata Popelnuh (@popelnuhh)
@tjukanov @datagvat @VisitTirol For #30DayMapChallenge day 12 – Movement, I am revisiting an old file: free-floating bike sharing movements in #Cologne on a weekday morning. Data collected from their API in 30 minute intervals for two hours: https://t.co/d61Bi0U2WW Tool: QGIS, Photoshop
By Martin 🚡 (@MartinBangratz)
Already 1st November in New Zealand. Day 1: points. School locations in NZ. #30DayMapChallenge
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Here's every road, path and track in Dublin. #30DayMapChallenge Day 22: Built Environment
By Richard Cantwell (@ManAboutCouch)
#30DayMapChallenge Day 3: Hexagon Thailand Population Density 2015 on Hax-grid 86.6 https://t.co/XIoHwkQSC1. Made with #qgis Source: GHS-pop #gis #map #maps #socialgeography #cartography #mapart #thailand
By Note Dherapat (@prospero021)
#30DayMapChallenge 2x1: #GEOBIA en @ArcGISPro sobre una imagen 🛰WorldView-3. #Bogota Cra 7ma - Cll 40 @udistrital Día 5: Raster. Segmentación de la imagen -> Mean Shift. Día 6: Blue . Visualización de los valores del atributo "Compactación del Objeto" 🔵.
By Oscar Javier Espejo (@ojespejo)
Dublin population by nationality #30DayMapChallenge #Day23 #Population
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge Day 24 #Statistics Municipios más pobres de México #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Dia 23. Población (Population). Lugares donde se concentra la población en el estado de Campeche. ¿Por qué Campeche? Porque fue el único mapa que pude hacer sin que mi computadora se quedara trabada (+100MB). #RStats con datos de https://t.co/HhWzFU3uoB
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 11 - Elevation. One of the smaller maps from a #leavingmap made for @volcan01010 #QGIS3 #Iceland
By Nadiia (@NadiiaGorash)
#30DayMapChallenge Day 9: Yellow Places with "sun" in the name, per query of @USGS @USGSTNM GNIS place name file. I've used National #Map data to make maps before, but I've learned so much more just this month, h/t @tjukanov Made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Day 18: Globe - Coordinate Reference System - World Quartic Authalic #CRS #EPSG54022 #naturalearth #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge - day 13: tracks Meet Harry, @LifeWatchVLIZ's and @oscibio's chips-loving bachelor lesser black-backed gull, and find out what he has been up to in the summer of 2016! 🦜 Tools: #moveVis package Data source: https://t.co/fo1FVzSqpp
By Britt Lonneville (@BrittLonneville)
#30DayMapChallenge Day 17: Zones Zoning in Jakarta city center. The National Monument of Indonesia provides the gravitational center for government buildings around it (in light green). Now, Indonesia plans to move its government to a different island altogether.
By Positium (@positium)
The real #30DayMapChallenge map I wanted to make is this - solidarity from Dublin to those out on #UCUstrikes all over the place, you're not alone and I hope the map highlights strikes as collective response to neoliberal, individualising and immiserating university structures ✊
By Maedhbh Nic Lochlainn (@niclochg)
Dia 10: Blanc i Negre. Wageningen, on visc ara. #30DayMapChallenge #OSM #QGIS
By Gerard M. Porras (@Gerardathletics)
Day 26 of #30DayMapChallenge – Hydrology. Today in Using USGS Swatches Not For Their Original Intent, here’s some ocean uses by fishing in Hawai‘i.
By ಠ_ಠ (@DeniseDSLu)
Day 29: Experimental Here's a favourite place of mine in the map style of #Zelda Breath of the Wild. The font for the Sheikah language is Esri Geology which is the first time I've ever used one of the Esri symbols fonts. #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
@inari_ta Then it's Day 3, Polygons (sort of 😏). Here is a map of two disappearing glaciers in the snowy mountains in Central Colombia, showing the glacier extent by year. Used Google Earth, QGIS and shapefiles from the Sistema de Información Ambiental de Colombia. #30DayMapChallenge 🗺️
By Ana Lucía González (@anlugonz)
Before the day finishes, here my map for the #30DayMapChallenge. All #landfill sites in Mexico, prepared for the #CircularityGapReportMX #CircularEconomy #IndustrialEcology #ZeroWaste I will prepare for the next 15 tomorrow... work is drowning me :/
By Daniel Avila (@Daniel_AvOr)
#30DayMapChallenge 28: smieklīgi. Gribēju kartēt savu humora izjūtu, bet uz tukšu, melnu kvadrātu ir autortiesības citiem, tāpēc atgādināšu vienu no dīvainākajiem vietvārdiem - Zelta Dibens Saunas pagastā.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge Day 7: Red - DTM of a crater on the Red Planet 👽#mars #opensource #QGIS #hirise #openstreetmap #gischat #geography #cartography NASA/JPL/University of Arizona/USGS
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Day 5: Raster Part of our ongoing Tornado research. Annual Probabilities of Tornadoes based on historical events per square mile for a 69 year period in the United States. #gis #maps #map #geographyteacher #geography #cartography
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge 25. Climate: tried to compare long term average (1960 - 1990) monthly maximum temperature and precipitation for July with the IPCC "nightmare" scenario (RPC 8.5) for 2070 - will be hotter and drier 🤨🌞🔥 Data from WorldClim.
By Evelyn (@evelynuuemaa)
Circular migration plot showing human movement in 2005-10 #science #30DayMapChallenge day 11: movement
By Dr Nikola Sander (@nikolasander)
Day 10: Black and white Whenever I experiment or start a map without a clear purpose there’s a good chance it will be of somewhere in the Canadian Arctic. #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 7⃣ Red: Today's credits go to the Geoportal of Lombardy Region, Italy: https://t.co/PtYY0OY6Uu This beautiful @qgis map depicts Lombardy Region boundary, province names and 20m Digital Elevation Model, all reddish❗️
By Marco Minghini (@MarcoMinghini) in Italy
Day 6 of #30DayMapChallenge: blue. Percentage of blue vehicles in each New Zealand Territorial Local Authority. It appears to increase going South. data.table was great for reading and processing the 1.2GB csv file, with 5M vehicles. #rstats Code: https://t.co/KgPJgOI3Ns
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30daymapchallenge Day 11: Elevation. Elevation joy plot of the Kebnekaise massif, the tallest mountain in Sweden. Tools: R and illustrator.
By topografen (@topografen)
#30DayMapChallenge Day 6: Blue 🔵 Metro stops in Berlin 🚇 - you can spot the blue U-Bahn sign nearly from every location and angle in the city center but some areas can't be reached. #ggplot2 #rstats #dataviz @BVG_Kampagne
By Cédric Scherer (@CedScherer)
#30DayMapChallenge 12. diena, kustība. Ledus Rīgas jūras līcī. #sentinel2 #Copernicus
By Kristīne (@kriksine)
Día 15. Nombres. #30DayMapChallenge Bueno, y me preguntaron que qué pasaría si ampliamos el zoom no sólo a GDL, sino a la ZMG... Éste sería el resultado: Se mantiene lo de oriente poniente de la Calzada, con excepción de las zonas periféricas a Zapopan...
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
#30DayMapChallenge Day 26 is hydrology - here's a map of EPA bathing locations and 2019 water quality data. Rule of thumb is, if the logo is darker, dip or sip with caution...
By Maedhbh Nic Lochlainn (@niclochg)
For #30DayMapChallenge Day 29: Experimental, I had the exact same idea of @hrbrmstr, sorry for the repeat! Here's two maps of Westeros & Essos: one that focuses on the geography, another on the political. Shapefiles here 👉 https://t.co/gCXt0h18DH #ArgGIS #GameofThrones
By Daniela de los Santos (@danidlsa)
Day 11 of #30DayMapChallenge - Elevation parcelles #LIDAR
By Ben (@benfriin)
#30DayMapChallenge 2. Lines Contour Lines of the canton of Bern (Switzerland), equidistance 100 m Tools: #QGIS Data: https://t.co/cIgUxkeQfw (GRENZ5), https://t.co/IkaTBGTNOc (srtm_38_03)
By Martin Senn (@MartinSenn6)
Super dataset on river #hydrology in the #Arctic Too late for #30DayMapChallenge? #AESM19
By Ruth Mottram (@ruth_mottram)
#30DayMapChallenge Day 12: movement Meteorological radar data over Sao Paulo and a sample of car accidents, february 26, 2018
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Day 28 of the #30DayMapChallenge : Funny…Some bad map humor for Thanksgiving Day in the US at the expense of all my friends in Turkiye #IMNOS
By Patrick Nelson (@pnelson917)
Lost Dnipro river rapids. Between the cities of Dnipro and Zaporizhia, Ukraine. #30DayMapChallenge Day 06: Blue #monochrome #Sentinel2 p.s. Rapids is not on the map, they are underwater ;)
By gontsa (@gontsa)
That's all of India's rivers from @openstreetmap - day 2 of #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Day9:yellow Data:Inbounds Twitter Sentiment Score Tools:R%>%Shiny%>%Leaflet%>%h3forr
By R連続体（データの流れが見えすぎる猫） (@Rrenzokutai)
#30DayMapChallenge 1. Points Accidents on German roads involving different modes of transportation (2018; data missing for federal states NRW, MV, TH). Data: https://t.co/1nbvD5y2nD
By Martin 🚡 (@MartinBangratz)
#30daymapchallenge Day 06: blue Private schools Santiago, Chile (IDE, 2015)
By Mauricio González (@magonza9)
Day 3 of #30DayMapChallenge (topic: polygons): a map we created on the most visited destinations for #AsianGames visitors outside of the sports event. #maps #polygons #datascience #mobiledata #tourism
By Positium (@positium)
Day 16: Places All 349,507 places in NRCAN’s Geographical Names Database with 90% transparency. #30DayMapChallenge #ArcGISPro #WomenInGeospatial
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge #mapbox Day 2: Lines. Visualization of Airplane Flight Paths. with mapbox. 🌎🌍🌏
By Grace Miswa (@grace_miswa)
#30DayMapChallenge Day 2: lines Distribution of socioeconomic groups (income level) in Santiago, Chile // Distribución de grupos socioeconomicos en #Santiago Estimation from data of @SII_Chile and @CIAS_Chile https://t.co/JDlC6OuW3m
By AECH (@a_esceptica)
#30DayMapChallenge nr. 9, "yellow".... ik dacht al aan bananen of aan het land waar Jumbo-Visma na 3 weken koers de leiderstrui wil bezitten (voor de heel makkelijke oplossing), wat zoekwerk leverde een dataset over verwachte landbouwopbrengsten op. Zoals zonnebloemen.
By Bart Broex (@bbroex)
#30DayMapChallenge Day 20 #Rural 🌱🤠 La parte rural de la Ciudad de México #QGIS
By Carmen Carro (@CarmenCarro_)
#30daymapchallenge Day 17: Zones. Helsinki Regional Transport (HSL) fare zones since April 2019 https://t.co/7iZeOHJEBk Hello @d3js_org - it's been a while! Fond memories from the courses by @miskaknapek in 4/2014 in Tampere, and by @alignedleft in 12/2015 on the interwebs.
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge 10. diena, melnbalts. Mani pēdējie 3 mēneši ar Waze acīm.
By Kristīne (@kriksine)
Day 24 (Statistics) is a slight variation on 23 - dot density maps of millennials vs baby boomers in Queenstown, New Zealand. (Or at least as close as the reported 5-year age groups will allow.) #30DayMapChallenge
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge Day 20: Rural Rural population in Uruguay, by department. | Población rural en Uruguay, por departamento. Code 👇https://t.co/FGdPFa9kIU #rstats #rstatsES #datosdemiercoles
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge 3.polygons Great Britain's Largest Inland Lakes / Lochs ordered by area , OS OpenZoomStack, #qgis, postgis query to create the grid layout.
By Steven Kay (@stevefaeembra)
#30DayMapChallenge Places. San Diego's beaches. Saturday is beach day!
By Barbara Kent (@SDGeoGirl)
#30DayMapChallenge Day 18: Urban - San Francisco Building Heights Spent more time learning @QGIS w. this one (Figuring out the Print Composer, updating map views (this was maddening at first), legends, and multiple map frames in one layout but settled on a simpler design.
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Elevation. Two ways. Hand drawn and highly generalized.
By Barbara Kent (@SDGeoGirl)
(posting late) Day 3 of #30DayMapChallenge -- POLYGONS Pretty results playing with clustering
By Sasha Trubetskoy (@sasha_trub)
#30DayMapChallenge Day 1 - Points (even though it's day 17) Active and expired traffic lights in Amsterdam. Data from: https://t.co/7ss448OO21 and made using QGis.
By lhubrechsen (@lhubrechsen)
¿El tránsito de camiones por las rutas nacionales será un buen proxy de la actividad económica de un país? (Si lo fuera, tomaría nota...) #4FA #DebatePresidencial2019 *** #rstats #rstatsES #datosdemiercoles #30DayMapChallenge day 13 - Tracks R Code: https://t.co/X99L1CNpKy
By Daniela de los Santos (@danidlsa)
Day 9: Yellow "Buildings in #Semarang City, Central Java, Indonesia" - Data source: Buildings by #OpenStreetMap contributors; city administrative boundary from https://t.co/9nZYCcpehO - Processed using: #esri ArcGIS Desktop 10.6 #30DayMapChallenge
By Rifqi Oktavianto (@rifqi_oktav)
@f_l_o_u_r_i_s_h #30DayMapChallenge nr 3: The Belgian Mega Agglomeration: an area where you're never more than 200m away from a house. We're basically just 1 big, badly planned city https://t.co/Rxq7W35yiD
By Maarten Lambrechts (@maartenzam)
Day 10 of #30DayMapChallenge Bogotá, you do look pretty in black and white 🖤 (blocks or "manzanas" from https://t.co/eOrk2vBLC0 )
By Ana Lucía González (@anlugonz)
This map is as ridiculous as the data being shown. I wanted to do a series of top 5 high courts but I think I’ll stop at this. #30DayMapChallenge 02/30 LINES Source: RAJYA SABHA SESSION - 248 UNSTARRED QUESTION No 705. Ministry of Law & Justice. #maps #justice #law
By Vaibhav Bhawsar (@voybhav)
Día 6: Azul / Tsujxk El Río Cajonos es uno de los afluentes del Papaloapan. Nace en la Sierra Norte de Oaxaca y fluye hacia el Golfo de México. Es un río libre, es decir, su cauce no es interrumpido por ninguna represa desde su nacimiento hasta su desembocadura #30daymapchallenge
By Colmix (@Colmixe)
Traffic collisions in principal avenues (darker) and TransMilenio's road system (brighter) in Bogota during 2018. (TransMilenio: A kind of bus rapid transit system) #30DayMapChallenge #QGIS #Bogota #TransMilenio #Colombia day 13: Tracks
By Felipe Lancheros 🐯 (@MiniTigri)
#30daymapchallenge #mapvember late start - ‘flight lines’. Simple but fun - lidar visualised by flightline ID over the ACT; and the lower Murray Darling Basin. @pointcloudpipe + @entwineio + #Potree
By Adam Steer, doctor of all the things! (@adamdsteer)
@qgis Avec ces mêmes données, le #30DayMapChallenge Day 19 - Urban Date of construction of buildings in #Paris
By Gaëlle (@Gaelle_Sutton)
#30DayMapChallenge 20 | Rural Croplands across the globe, measured by intensity within square kilometer grid cells—37% of total land (made in #QGIS with data from @Geo_Wiki's application https://t.co/Ut4SazFN3M)
By Andrew Renninger (@AndrewRenninger)
#30DayMapChallenge 14. Boundaries- The 4 Corners, USA When I think of boundaries I always picture this place and how comical boundaries can sometimes be. Surrounded on all sides by desert with a man-made designation of where 4 state lines come to a perfect point.Makes one think.
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge day 28 : funny I made a map of France with Kingdomino game's tiles. I tried to match the types of lands with reality. You can even see big cities (castels) and where I live (blue meeple) ! 😊 @blueorangenews
By Léo Boisseau (@TastesLike_)
#30DayMapChallenge #1 Points. +thinking about new geocache locations
By emil (@57x025)
#30DayMapChallenge nr 15. Namen als thema, daar kun je de provincies mee vullen.
By Bart Broex (@bbroex)
#30DayMapChallenge 25. Climate Moisture index for the 2019 wine year (Vaucluse, France) "Aridity" in red Made with @sentinel_hub
By Romain Lx (@lacxrx)
For day 23 of #30DayMapChallenge A population map of NZ map makers in 2013 (census data) code, such as it is, at https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge day 27 - resources. Here is a map of existing wind turbines in the British Isles - unfortunately due to NIMBYs all future development is force offshore for the UK. #qgis #osm
By Ian Turton (@ijturton)
#30DayMapChallenge Map_14: #Boundaries Gran trabajos de coordinación de limites, a partir de 2001 x definir los límites de las CP del Segarra-Garrigues de los diferentes términos municipales. Contratos de CP de <> empresas. Post @iAgua CP https://t.co/VMO4pzxQkv
By Ignasi Servià (@iservia)
Day 5 of the #30DayMapChallenge (raster) gives me an opportunity to catch up and share this bad boy (created for #FOSS4G2019) again: the evolution of #cod gridded abundance over time. 🐡 @EMODnet
By Britt Lonneville (@BrittLonneville)
Day 13 of #30DayMapChallenge – Tracks: Whakapapa and Tūroa ski areas
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge 3. Polygons A map I made during my studies. Percentage of female population in Africa. Tool: #QGIS
By Martin Senn (@MartinSenn6)
Día 4 Hexagon: Mapa de calor de los accidentes de la Cuidad de México en 2018. #30DayMapChallenge #rstatsES #datosdemieRcoles #rstats #ggplot2 #CDMX #DataScientist https://t.co/PyaQATyBDZ
By Enrique Santibáñez Cortés (@EnriqeSc)
#30DayMapChallenge Day 4: Hexagons Software Qgis 3.8 Data Source: Kenya open data
By Daniel Kiuri (@DanielKiuri)
Day 7 of the @geospatialwomen #30DayMapChallenge and here is my take on the theme 'red'... Distribution of REDD+ partner countries and the years in which they joined the programme; inspired by some research I am working on at the moment.
By Beth Jackson (@BethJackson1x)
Day 12 of #30DayMapChallenge - movement. An example of how fiddly it can be to make "simple" maps. This shows net migration to New Zealand between 2010 and 2019 but it's not complete. Read on for the tale of data wrangling and woe. Code: https://t.co/7Gj61dbtl3
By Aaron Schiff (@aschiff)
#30DayMapChallenge Day 3: Polygons Bright Lights of Population — usually resident population density. Data: Statistics NZ (https://t.co/WHVU03T1zV), made with QGIS.
By Hamish Campbell (@polemic)
Trying to keep w/"cyber" &| "Maine" themes for #30DayMapChallenge. This time both! Xfinity hotspot coverage in Maine w/polygons showing highest density areas. Code incl ex of instrumenting a hidden API (feeding zip codes to get hotspot results). Code: https://t.co/vNG5NE2Afn
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Day 7: Red More monochrome! All 14443 GPS points are a semi-transparent bird footprint belonging to one of 28 individual birds. The Red-backed shrike is also a Red List bird meaning the population is in severe decline and globally threatened #30DayMapChallenge #WomenInGeospatial
By Allison Cully (@AllisonCully) in Canada
Day 29 (experimental): I have been playing around with #blender to make a representation of a typical Mediterranean catchment #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day 10: Black and White: Three Waters — B&W schematic of water, waste and storm reticulation under a small part of Auckland’s inner suburbs. Data Auckland Council.
By Hamish Campbell (@polemic)
#30DayMapChallenge Day 6 #Red 💀💀💀 Massacres in Cauca #Colombia A sorrowful story pretty much needed to build #peace This map deserved special dedication, so I left the daily pace behind (Source @Indepaz) Using: @qgis @geopandas #Seaborn #pydata @openstreetmap #gischat
By Diego Pajarito G. (@diegopajarito)
River Zbruch millennial natural border. I tried to show the typical structure Podolia (Podilia) countryside. Left side Ternopil region, right Khmelnytsky region of Ukraine. #30DayMapChallenge Day 20: Rural Data: #OpenStreetMap contributors, #QGIS
By gontsa (@gontsa)
#30DayMapChallenge Only Day 1. Points for population density blue to white, Koalas red. The conclusion is clear, koalas like Australians but not Tasmanians ;)
By Andrew Fletcher (@EVB221)
Day 8 of the #30DayMapChallenge - ‘#Green’. @LDN_gov Tree canopy cover map showing the significant tree cover in #London which the mayor has committed to expanding. The data was derived in part from Geomni Colour Infrared Imagery. #geospatial #gis #mapping #geography
By GeomniUK (@GeomniUK)
16 Places with more formal jobs in São Paulo Metropolis #30DayMapChallenge
By carolina passos (@carolpos)
Day 10 of #30daymapchallenge is 'Black&White'! Need a simple but #interactive #map to help #teach #longitude, #latitude? Here ya go! Black #vectors notate prominent lines around the wold. Find more #edudata in #ArcGISOnline using search term "ArcCanada"! https://t.co/AWol2V0y2V
By GIS for Education (@GIS4Teachers)
Day 4 - hexagons #30DayMapChallenge Densité des commerces en Pays de la Loire/shop density in Pays de la Loire (French administrative area) QGIS + PyQGIS, GDAL, OpenStreetMap, Overpass API, Uber #h3 Python bindings Reminder: repo => https://t.co/kKNOQkED1p
By Thomas gratier (@ThomasG77)
Mapa con trending topics en la mañana del viernes 15 de Noviembre 2019 Day15 #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests 25. Climate #30DayMapChallenge Main climates of Mexico. #Climate #mexico #qgis
By D. (@daniel_isita)
#30DayMapChallenge nr. 19 ("Urban") met wat vertraging. Hoe zit het met stedelijke dynamiek in beschermde gezichten en wederopbouwgebieden (uitsnedes Nijmegen en Westerhoutkwartier? Met gegevens van BAG-panden gemaakt en besproken met o.a.@_Peter_Timmer en @blomwederopbouw
By Bart Broex (@bbroex)
#30DayMapChallenge Day 19: Urban - Area of dense human habitation (also known as Urban Areas) from #naturalearth #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
Day 5 of #30DayMapChallenge – Raster. 🐔 Chickens 🐔 of the world, data from the Harvard Dataverse
By ಠ_ಠ (@DeniseDSLu)
Day 14: Borders of Indonesia. Indonesia has over 3000 km of land border and over 17 000 islands, making protecting the borders from unregistered entry very difficult. Which is why they promote free movement within ASEAN #30DayMapChallenge
By Positium (@positium)
Day 9 of the #30DayMapChallenge : Yellow…Implemented some quick data from @Team_eBird on the Yellow-bellied Sapsucker territory #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 16 Places. Damn I misheard that as PLAICE Sand made a map of the density of plaice catches from ICES open data ...(OK I'll get my coat)
By Sweary Dave (@citizenfishy)
#30DayMapChallenge 11. Elevación De Linares a Villarrica. Inspirado en el "estilo Imhof" de @John_M_Nelson
By #PiñeraRenuncia #PiñeraDictador #PiñeraAsesino (@seba_jh)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal @Foursquare @redcompleja #Day19 #30DayMapChallenge: Rural. Areas of terrains/lota classified as rural in the central provinces of Boyacá and Cundinamarca. White=Not rural. Warmer colors correspond to larger areas.
By DoctorJ (@garciaart3)
#30DayMapChallenge Day 6: Blue created in #QGIS using the @LINZLDS depth area layer with some shapeburst fill, raster image fill and some paper texture over the top for a water colour effect
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 9. Yellow I had higher hopes for today's challenge given that Kansas is "The Sunflower State." But, uh, I guess there's not a lot out there? Data from https://t.co/eTwT9O3XZw
By Travis White (@visualvariable)
Day 12 of the #30DayMapChallenge and I'm pulling from the archives. This #map shows the movement of runoff through central Florida contributing to algae blooms on the coasts. In hindsight, probs not the best call to bake so much text into a gif! Read more https://t.co/9rNkWXlsFM
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge 10. Black and White Beaver Ponds 1 foot contours with 277.5 and 278.5 ft added
By John O'Leary (@OLjohnel)
Built environment. Humans and beavers build dams sometimes. This is a dam in Imatra, visualised as a coloured point cloud. Data: @Maanmittaus #30DayMapChallenge #pato #dam #imatra #vuoksi #lidar
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge 22: sabūvēta vide. Jau vairāk nekā 800 gadu. Neizskatās nemaz tik torņaini kā ierastajā ainavā. Visvecākajā ēkā tagad ir Dekoratīvās mākslas muzejs.
By Zane (@atdodkonfektes) in Zane Atstāja
Jour 19 du #30DayMapChallenge, dont le thème est « urban ». Je ne connais rien de plus urbain que Paris (et l'évolution du vote LRM entre la présidentielle 2017 et les européennes 2019) avant les municipales en 2020. https://t.co/ExrVNnVzoJ
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge day 19: urban https://t.co/Y1ncfQzTSh Centre of Tongeren 1849 compared with the buildings of today.
By Vicky Verscheijden (@gis3700)
#30DayMapChallenge 6. Blue Depth information from S-57/ENC as vector tiles from ECC GeoView displayed in Mapbox GL. Sognefjorden, Norway.
By Tore Halset (@torehalset)
Day 29 of the #30DayMapChallenge : Experimental…Using tablets for map analysis works great, experimenting on how to make it a little better for wireless network analysis on a regular cell phone and will need a little more work or some smaller fingers. 😀 #IMNOS
By Patrick Nelson (@pnelson917)
Hoy parecido a ayer para el #30DayMapChallenge de 'places' ubicando nombres geográficos sobre el mapa, evitando el solapamiento, ordenados de más corto a más largo, y al revés. En #GranCanaria y #Tenerife. Fuente: mapa y nomenclátor geográfico del @IGNSpain.
By Pedro Suárez (@pedro_com_es)
2.5D #floodrisk map of #Tharandt #Germany. All data (#elevation #DEM, #3D buildings, flood zones, aerial photographs) from #opendata portal #Sachsen. https://t.co/tVtGpjpSEQ. Day 11 #30DayMapChallenge #QGIS #Qgis2threejs plugin.
By Hans van der Kwast (@hansakwast)
Recordando clases de geografía... #30DayMapChallenge Fun #Nayarit @antoniotello @YoSoyDeNayarit
By Carlos Cortés (@jccpmx)
#30DayMapChallenge Day 26 - Hydrology: I labeled a fraction of the thousands of reefs that make up the Great Barrier Reef system off the Queensland, Australia coast. Names from Google, imagery is 4/10/2017 Landsat 8.
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Día 30. Hogar (Home). Si el hogar es el lugar donde vive la familia, les comparto un mapa que hice de mi municipio de origen: Ocuituco, Morelos. Este municipio, conformado por 8 comunidades de tamaño similar, alberga en su territorio a 18,580 habitantes.
By Juvenal (@JuvenalCamposF)
Ivano-Frankivsk. City center pedestrian zone boundaries #30DayMapChallenge Day 14: Boundaries #OpenStreetMap contributors #qgis
By gontsa (@gontsa)
#30DayMapChallenge day 27 Photovoltaic production since 1998 @ddiazescandon
By Javier (@7Javier6)
El Uruguay de los últimos 10 años tiene saldo migratorio positivo. Uruguayos retornan de España, Arg., USA... Inmigrantes llegan desde Venezuela, Arg. y más. #VotoAVoto #4FA (Datos de estimaciones demográficas, no registros administrativos) #30DayMapChallenge (day 2 - lines)
By Daniela de los Santos (@danidlsa)
My #30DayMapChallenge no. 2 - contour lines of Mount Taranaki. Code: https://t.co/bQpRON2eOY
By Aaron Schiff (@aschiff)
Day 22 of #30DayMapChallenge – Built Environment. Here are store buildings (including retail food places) in Manhattan, which is more commercial and has a hodgepodge of stores vs. Brooklyn, which is more residential and has retail along main boulevards.
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge day 17: zones. @SYKEinfo Kaupunki-maaseutuluokitus 2010. #paikkatieto #maaseutu
By Teemu Saloriutta (@TeemuSaloriutta)
Random data created using https://t.co/SFFyhubeqr and mapped using https://t.co/nfXsJ7Anwc as we mark #day4 of the #30dayMapChallenge. Just Learnt a hexagon's heatmap is based on an array of points and the color and height of the hexagon is scaled by number of points it contains
By Grace Miswa (@grace_miswa)
One of my longest passenger train journey experience from Bangalore to Karaikal w/ @IRCTCofficial for #30DayMapChallenge - working on this map reminded me of the umpteen scenic fields en route 🌳🐄🥥🌻
By Ramya Ragupathy (@ramya_ragupathy)
Day 27: Resources Early 20th century ISOTYPE design often focussed on resource generation and exploitation. Here is my attempt at reproducing a map from "Only an Ocean Between" (1943) using only Vega-Lite. Workings & data: https://t.co/rnJULFjyYa #30DayMapChallenge
By Jo Wood (@jwoLondon)
Top source-destination activity for Rapid7 Heisenberg honeypot probe/attack traffic since October via #rstats {threejs} for Today's #30DayMapChallenge ("Globe") https://t.co/HRRI5pGPWW (these pew-pew maps aren't rly useful, just kinda pretty)
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Day 3 (v1) of #30DayMapChallenge — Polygons Randomised buildings colours in NYC. Tools: QGIS Data: @openstreetmap
By Robin Hawkes (@robhawkes)
#30DayMapChallenge 6. Blue: the Pacific Seafloor. Spot the trenches, seamounts, ridges, and Zealandia. 😊 Original relief shading method from @pinakographos; made with @qgis and @blender_org #mapmaker #Pacific
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge Day 20: Rural Even though #Berlin is a metropole, it has many rural areas with regard to land use types. This map shows all non-build areas such as forest, grass- and scrubland, meadows and nature reserves in the middle of the city. #ggplot #rstats #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge 11. Elevation For the elevation day i looked at the countries with the lowest average elevations: 🇲🇻1.8m 🇶🇦28m 🇳🇱30m 🇩🇰34m 🇬🇲34m ✔️ 🇪🇪61m 🇸🇳69m ✔️ data: https://t.co/MklDwpydNS #dataviz #maps #ggplot #rstats #urban #Gambia #Senegal #Dakar #GuineaBissau #sdg11
By Olga Kononykhina (@bettermeasured)
Day 12 Movement - Does tectonic plate movement count? A quickly thrown together map of all of the @USGS @USGSEarthquakes observed #earthquakes. Size of the firefly symbology represents magnitude. #30DayMapChallenge data from: https://t.co/Sz6tEtWwJl
By Brian Johnston (@Geo_BrianJ)
Mapa 2. Unidades médicas que refieren pacientes a Hospital Pediatrico de la @SSaludCdMx e índice de vulnerabilidad social 2018. Con datos de egresos de cubos dinámicos de la @salud_dgis #30DayMapChallenge
By Daniel Choperena (@DanielChoperena)
A yellow map for #30dayMapChallenge #mapVember #rebelMapVember… well not really a map, it isn’t interpreting anything! Newnes, NSW featuring upper baldy. Cliff delineation using topographic ruggedness index. Data are NSW 2m DEM from @GeoscienceAus ELVIS, rendered in @qgis
By Adam Steer, doctor of all the things! (@adamdsteer)
@Syracuse1848 @SyracuseU #30DayMapChallenge Day 13: Boundary Code violations by neighborhood in Syracuse (you can see the boundaries without the boundary lines mapped) Data: https://t.co/5iL1mzwy3b Code: https://t.co/6Ifx2n3Kz5
By Sam Edelstein (@samedelstein)
Day 6: Blue "Jaringan Sungai di Kabupaten #Bandung, #JawaBarat, #Indonesia" Sumber data: https://t.co/xBCMbojo06 Diolah menggunakan ArcGIS Desktop 10.6 #30DayMapChallenge
By Rifqi Oktavianto (@rifqi_oktav)
La contrastante expansión de los grandes centros urbanos (a través de luces nocturnas) y la dispersión de las poblaciones rurales en México... #30DayMapChallenge
By AgroDer (@AgroDer)
Día 9: Amarillo / #Puꞌts En el estado de Oaxaca se han registrado 36 de las 64 variedades de #maíz que hay en México. Esta riqueza se debe en parte a la variación orográfica y climática del estado, también al manejo que los pueblos de Oaxaca le han dado. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Day 25 #Climate ❄️ Peligro por temperaturas mínimas en la CDMX #QGIS
By Carmen Carro (@CarmenCarro_)
Day 30: Home What does 'home' mean to me? Many places, many people and many activities that give me the comfort of belonging. I tried to capture the November light of my view of the Langdale and Consiton fells. Workings & data: https://t.co/iRlUlCsxNc #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge 21 - environment global biomes using mollweide projection. conversion in #qgis, visualised in #tableau #nomorewgs84 https://t.co/tBozAV1nhL
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 9: Yellow Hoiho — distribution of Hoiho / Yellow-Eyed Penguin in New Zealand waters. Data: MPI via NABIS.
By Hamish Campbell (@polemic)
#30daymapchallenge day 14 - boundaries. Here are the UK county boundary changes between 1851 and 2019, presented again in our Location Insights Explorer A few land grabs by some counties over the past century :-) Explore for yourself here: https://t.co/hzT2tAkM2P #GIS #DataViz
By Emu Analytics (@emu_info)
Día 21: Medio Ambiente / #Etnääjx Gran parte de la #RegiónMixe está cubierta por bosques con vegetación secundaria, resultado de un manejo de más de 2,000 años de historia, si bien aún existen importantes superficies de bosques primarios. #30daymapchallenge
By Colmix (@Colmixe)
Day 21 of the #30DayMapChallenge (environment): The most powerful rivers in the world #maps #river #likeariver #worldmap #environment
By Positium (@positium)
#30DayMapChallenge Day 17 - Zones Imagine you went back to the 70's, ingested a large amount of LSD and then tried to figure out where the underground zones of London layer geographically. Well, no need, as I have done it for you.
By Sweary Dave (@citizenfishy)
#30DayMapChallenge day 8. Super Green! Parks in @Turkukaupunki from OpenStreetMap. Made my own tree symbol. Jei! Buildings from NLS-FI topographic database. Tools: QGIS, QuickOSM and some blending tests.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 9 : Yellow - Ronds-points à Lille #GiletsJaunes #RStats #Lille #OpenData https://t.co/rOtAYTCxhS
By Cécile Rodrigues (@Grisoudre)
Day 30 of the #30DayMapChallenge - Homes Last but not least, a map showing Victorian homes in three of the UK's major cities - London, Liverpool and Cardiff. The maps give a good indication of the expansion from Early Victorian (dark red) to Late Victorian (orange).
By GeomniUK (@GeomniUK)
Day 18 of #30DayMapChallenge – Globe: Frank Turner's Never Ending Tour Of Everywhere: An interactive global tour of every @frankturner show to date https://t.co/MyhT17Tt1n
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge day 26: hydrology. Suomessa lähti takavuosina soiden ojitus pikkaisen lapasesta. Ääriesimerkkinä kartassa Pyhännän Iso Lamujärvi ympäristöineen. Data @Maanmittaus Maastotietokannasta.
By Teemu Saloriutta (@TeemuSaloriutta)
#30DayMapChallenge Day 27: Resources Mapping out the Oil & Gas pipelines that run through the south eastern half of Alberta Created using QGIS Source: Alberta Energy Regulator
By Sami Kurani (@SamiKurani)
Had zero time for day 1 of the #30daymapchallenge, so here are street trees of the City of Los Angeles in just before midnight.
By Craig Williams (@williamscraigm)
@tjukanov Day 21 of #30DayMapChallenge: Environment Map of environmentalists on twitter
By Tweepsmap (@tweepsmap)
Day 6 Blue : map of a convenience store, LOWSON, data source from OpenStreetMap contributors. ローソンの分布図。公式HPには2019年10月末時点で14,673店舗あるとのこと。OSMには3,687店舗登録されているので、OSM登録率は25% #30DayMapChallenge
By mits miyake (@mmits003)
#30DayMapChallenge Revisiting all buildings in Denver. https://t.co/b9R2B8YFkn
By Joanne Cheng (@joannecheng)
#30DayMapChallenge These are the streets of Dortmund. Brighter streets with a 50 km/h speed limit, darker streets with a 30 km/h speed limit. #dataviz
By Andreas Meinke (@andy_meinke)
Day 8: Green Started this by trying to mimic @John_M_Nelson ‘s Appalachian Trail map to replace an old West Coast Trail poster that I inherited with my office. I officially love monochrome. #30DayMapChallenge #WomenInGeospatial #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge #mapvember #rebelmapvember Since I painted Antarctica red, the green isle of Tasmania can be blue. Trullenuer / Toindy / Mebbelek and region. A wonderfully rugged group of quartzite peaks… ASTER GDEM v3, rendered in @QGIS
By Adam Steer, doctor of all the things! (@adamdsteer)
Day 24 of the #30DayMapChallenge: Statistics. Here's a map showing the population weighted mean center of each state in the lower 48. I labeled them using the nearest identified place name from the U.S. Census. Data in #rstats. Map in @qgis.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge 21. Environment: Wetlands - in most parts of the world lost environments 🌍💦. Estonia has been blessed with many #wetlands - almost 40 000 and ranging from 0.002 ha to 9000 ha in size 🤗
By Evelyn (@evelynuuemaa)
Day 03 - Polygons - Buildings by type in three cities. A pity so many are classified as just 'building' . MAde in #rstats code: https://t.co/QFnf9SVaNM #30DayMapChallenge
By Adam Gruer (@AdamGruer)
Day 30 of the #30DayMapChallenge : Home…The home neighborhood I attempt to keep complete and up to date in @OpenStreetMap and 30 days complete! #IMNOS
By Patrick Nelson (@pnelson917)
Was super busy Fri so here's a late Day 8 sub for #30DayMapChallenge courtesy of @kyle_e_walker's EPIC {tigris} pkg : The "Green" Roads of Maine (all roads w/"green" in their name). There were a ton more than I expected. Code: https://t.co/vNG5NE2Afn + GL/BB/SrcHut/GitUgh
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Day 7 theme of the #30DayMapChallenge is red and an excuse to unearth my 'terminator' style of @OrdnanceSurvey #zoomstack data for urban areas
By Sam J (@samwise_v)
Land cover map of Mexico. Day 27: Resources #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh #Day11 #30DayMapChallenge: Elevation. Concerts of the North American leg of U2's 2001 "Elevation Tour". cc @U2
By DoctorJ (@garciaart3)
Day 19 of the #30DayMapChallenge : Urban…Probability of urban expansion by 2030 from #NASAsedac data. Network planning for a little past tomorrow. #IMNOS
By Patrick Nelson (@pnelson917)
#30daymapchallenge Day 10: black and white Railroad network Santiago, Chile (BCN, s/f)
By Mauricio González (@magonza9)
#30DayMapChallenge Day 1⃣9⃣ Urban: Land Use/Land Cover classification of Milan, Italy 🇮🇹 according to Urban Atlas (2006) - Source: https://t.co/RZ26sffFbC - Map designed in @qgis Extracted from this paper written in 2017: https://t.co/349IRQZM5K
By Marco Minghini (@MarcoMinghini) in Italy
🇭🇺 Hungarian minority, 🇷🇴 Romanian majority. How a city's ethnic groups are represented in its streetnames 🛣️ Day 23 of #30DayMapChallenge : "Population" (a tad late to finish)
By Arnold Platon (@Arnold_Platon)
@sentinel_hub @esa @CopernicusEU @CopernicusLand #30DayMapChallenge #Helsinki For @tjukanov
By Justin Meyers (@MapMakinMeyers) in USA
#30DayMapChallenge day 7: A building footprint map of @GemeenteEdegem in #red // Data source: #GRB by @info_vlaanderen
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 4: Hexagons Infographie sur maillage à 10 km² : indicateurs socio-démographiques, pour comprendre les variations du prix au m², données INSEE + DGFIP (Demandes de Valeurs Foncières - DVF en Open Data) #WebAppBuilder #ArcGISOnline #BusinessAnalyst #Esri
By Raynald GARNIER (@raynald_garnier)
📲 Day 7- #30DayMapChallenge #Red I Sabías que con #LaIDEdeBogotá puedes conocer el promedio de alturas de los predios de Bogotá. Te invitamos a que las visualices en el siguiente enlace 👉 https://t.co/ejP8QxrAXv
By Catastro Bogotá (@CatastroBogota)
#30DayMapChallenge 1. Points Each point is carnival parade. As you can see not everyone in the Netherlands is into carnival. https://t.co/bnwZWgiugh
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge – Day 2 - Lines Islands near Çanakkale, Turkey (Limnos, Bozcaada, Gökçeada) Data: SRTM Elevation Data Tools Used: #python #ridge_map
By Kaan Kalkan (@kaankalkan)
Day 14 of the #30DayMapChallenge - #boundaries Image from #London 2016 of Lords Cricket Ground. Can you see the “boundary”?
By GeomniUK (@GeomniUK)
@IYIL2019 Día 17: Zonas Los términos #Regiónmixe, Distrito mixe y #SierraMixe a menudo son considerados como sinónimos, pero no lo son. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge kind of cheating today by updating park polygons using NYCParks maps and imagery. Creating data is as important as visualizing it! Not surprising that even though NYCParks uses OSM data for their webmap, they didn't update OSM... https://t.co/S2Dr0aZvh8
By Zhi He (@zhigus)
#30DayMapChallenge Día 2. Líneas. ¿Qué tan verde es tu calle? Área Metropolitana de Guadalajara. Consulta el mapa completo en https://t.co/Bo1HLUJSvL
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge
By Justin Meyers (@MapMakinMeyers) in USA
5. Raster #30DayMapChallenge Map of the territorial division between Guadalajara and Zapopan (red line). The suburbs of each county are also shown in yellow. #QGIS #Mexico #Map #Guadalajara
By D. (@daniel_isita)
#30DayMapChallenge Day 14: Boundaries - Territorial claims in Antarctica It’s #PostGISDay so I built this one using the power of #PostGIS in @CARTO. Thx to @mamataakella 4 this "how to change map projection" https://t.co/q9lMTnZ0S4. Map making is hard, more to come w/ this one..
By Christopher Pollard (@CRVanPollard)
Density of restaurants, bars and cafes in Lviv (Ukraine) #30DayMapChallenge Day 04: Hexagons #qgis #openstreetmap
By gontsa (@gontsa)
London chicken territories, based on purveyors of fried chicken. #30DayMapChallenge #Day28 #Funny
By Heikki Vesanto (@HeikkiVesanto)
[EN] https://t.co/OuaTGPjqTW empowers realtime #meteosat weather satellit imagery by @eumetsat to be combined with 700 #swiss federal datasets https://t.co/vX0Imiqe7f #30DayMapChallenge #experimental @meteoschweiz
By geo.admin.ch (@swiss_geoportal)
#30daymapchallenge Day 19 (phew!) Urban I've tried to illustrate the urban decay of England and Wales by punching out the areas classified as urban and colouring the remainder with darker green being more rural
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Day 30: #Home is where the heart is, they say. Big chunks of mine are in Corcovado NP, Costa Rica & in Danum Valley, Malesian Borneo. But Helsinki is where I live, and it's good. At 2pm the sun is already low. DEM10 @fgi_nls Code https://t.co/6MXga9D4L1 #Rstats
By Tuija Sonkkila (@ttso) in Finland
You could fit at least 271,956 blueberries atop Mt St Helens. #30DayMapChallenge Day 6 - Blue.
By Ariel Kadouri (@akadouri)
#30DayMapChallenge Day 20 - Rural: This is eastern Montana, where I mapped out drive times to Dr. Joan Dickson, the only psychiatrist between Billings and Bismarck, according to @patriotact. Each contour is 30 minutes driving from her practice in Glendive, MT. (1/3)
By Tim St. Onge (@TimStOnge)
I made this globe a few months ago for a story about a new marine park in Argentina: https://t.co/AA92TpkoRG. So shout-out to past me for taking care of today's #30DayMapChallenge. #cartography
By Riley D. Champine (@rileydchampine)
Jour 15 du #30DayMapChallenge : « Names » (ou toponymes en français). Voici ma carte de l'origine des noms de pays, toujours avec la plus belle projection du monde, celle de Buckminster Fuller. https://t.co/nU45mwRqhx
By Pierre Breteau (@pierrebrt)
I lived in Minnesota for 12 years and have lots of good memories of Lake Superior's north shore. For day 26 of the #30DayMapChallenge (hydrology), here's a map of the lake with the terrain inverted (depth turned to height). Map in @qgis.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge Day 1 - points. All UK schools / colleges / universities based on data from their (mandatory) Food Safety Inspection. Nothing fancy - just HTML5 canvas. Mainly because I have no idea what I am doing ..
By Mike Raistrick (@m_raistr)
#30DayMapChallenge - Day 27 - I didn't almost forget to do a map... Mapping water as resource, using GSI groundwater bedrock aquifer data. Regionally important aquifers can do large public water supply. Locally important do for smaller public supplies or group water schemes.
By Maedhbh Nic Lochlainn (@niclochg)
Not quite to what I would like with today's #30DayMapChallenge (Blue), but this kind of works. It's the Chicago @Cubs historical winning percentage by city. I kind of like it better as a dot plot. Made with @Retrosheet data through #rstats and @qgis.
By Jerry Shannon (@jerry_shannon)
My lines. https://t.co/C9TCkuXQoJ #30DayMapChallenge
By cartocalypse (@cartocalypse)
#30DayMapChallenge Day 4: Hexagons. Felt compelled to find some bee data. Wyoming has beehive registration data publicly available. Upper left is Yellowstone.
By Craig Williams (@williamscraigm)
A map of Forest Biomes for the #30DayMapChallenge. The theme is "Green" of course. Shout out to @World_Wildlife and https://t.co/hs9kt4H3pV for the map data. And I finally got to implement the #EqualEarth projection here! https://t.co/SnnHK9nKK0 #Map #Cartography
By Riley D. Champine (@rileydchampine)
Day 15 Names. Ok bit of a cheat but hopefully worth a plug. Search for your Townland web map app. Plus some @osni_maps #historical maps. https://t.co/PW8sjnVs0E #30DayMapChallenge #gis
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
Day 2 - Lines . Triptych of inner city rail and tram networks. Made in #rstats . Code: https://t.co/0qmS8vSDEg #30DayMapChallenge
By Adam Gruer (@AdamGruer)
#30DayMapChallenge: Day 8 is green. Maximum temperature for 2050 in Colombia. The source of data is https://t.co/Fd1kkFoz1F #rstats #ggplot
By Gustavo Ahumada (@Gustav_Ahumada)
#30DayMapChallenge Day 7. Red Redlined neighborhoods from 1937 Wichita juxtaposed with 2010 population dot density. 1 red dot = 1 non-white resident, blue = white. HOLC assigned 4 neighborhood grades: A = Best B = Still Desirable C = Definitely Declining D = Hazardous
By Travis White (@visualvariable)
Center-pivot irrigation fields of Kherson region Day 09: Yellow #30DayMapChallenge #monochrome #Sentinel2 #qgis #gimp2
By gontsa (@gontsa)
#30DayMapChallenge Day 1⃣3⃣ Tracks: I downloaded from @Strava all the GPS tracks of my runs done *only in 2019* & *only during the lunch break* (with a zoom on the JRC). Here's the result - as usually, the map is created in @qgis.
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge - Day 11: Elevation // DEM of the #Alps. Built in #b3d and #QGIS. Data by: @CopernicusEU @openstreetmap
By Valentin Schalk (@SchalkValentin)
#30DayMapChallenge Day 4 - Hexagons Auckland 600m Hexbins of Population (opacity) and NZ Deprivation Index (colour). Original Meshblock level dataset with the same symbology, for comparison. 2013 StatsNZ data
By Timmy (@gallicist)
#30daymapchallenge Black and white. Carreteras de administración estatal en #México. #RNC #INEGI
By marko gutierrez (@GutierrezyMarco)
Day 13 (Tracks) of the #30DayMapChallenge from the perspective of a #seaice modeler: Wind tracks over #Arctic sea ice. Wind is the main driver of sea-ice deformation and strong winds break the ice.
By Nils Hutter (@HutterNils)
#30DayMapChallenge 19 | Urban Travel speeds in Greater London (movement data from @UberOpenSource, with some #rstats and #rspatial to clean it up)
By Andrew Renninger (@AndrewRenninger)
Day 6: Blue #30DayMapChallenge #dataviz Little late, but was finalizing a feature yesterday at 10:30 PM (titles for `render_highquality()`) and decided just to let the full animation run overnight 😃 Made entirely with #rstats #rayshader #rayrender (and GEBCO bathymetry data)
By Tyler Morgan-Wall (@tylermorganwall)
#30DayMapChallenge dat 9: This time a more stylized #map in #yellow
By Michel Stuyts 🌍 (@michelstuyts)
Day 2 of the #30DayMapChallenge. Lines...Since we did the points of the airports in October, will add the lines in #IMNOS for the routes.
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Dia 16. Lugares (Places). Aprovechando que estamos en el Buen Fin (Mexican Black Friday) les comparto los lugares de la #CDMX en los que se pueden comprar computadoras y aparatos de esos que traen manzanitas atrás. #RStats con datos del DENUE, INEGI.
By Juvenal (@JuvenalCamposF)
Digging up my favorite project for #30DayMapChallenge day 19: #Urban Transit isochrones showing different city centres' accessibility within 15, 30 and 60 minutes on #PublicTransport + walking. Tools used: @heredev API, #Python & @qgis
By Martin 🚡 (@MartinBangratz)
@hansakwast @lutraconsulting TWI using the #SAGA tool. DEM created using TIN interpolation from shp. file and then smoothing the raster using Gaussian filter by #SAGA #30DayMapChallenge, Day 26: #Hydrology
By Joaquin Oliverio (@chalaoliverio)
#30DayMapChallenge 7. Red - Well Read 📚 locations containing word “library” in U.S.
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge I seem to be dipping in and out of this challenge, but anyway, today we have the theme: blue. I guess I've merged yesterdays raster theme in with this! Snowdonia National Park DEM with blue gradient. Boundary data from Natural Resources Wales and DEM from USGS
By Kate Amanda Booth (@Kate_GIS)
And then Day 7 (Red)... an homage to my home state (if tornados can be considered an homage...). I like the abstract, borderless version of #Oklahoma it creates. #30DayMapChallenge
By Garret Merle (@gmsooner)
#30DayMapChallenge 11. Elevation Overly exaggerated elevation of Belgium. #blender
By Karim Douïeb (@karim_douieb)
#30DayMapChallenge Day 27: Resources - Wind Farms Scotland - Operational, Proposed & Scoping #opensource #SNH #ScottishNaturalHeritage #marinescotland #crownestatescotland #windpower #osopen #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
My wifi is so slow I cannot finish my #mapbox map for todays #30DayMapChallenge challenge so instead here is one of my favorite #mapbox styles, by Amy Lee Walton called Swiss Ski: https://t.co/h278i6H282 Heres as far as I got-Urban boundaries in Massachusetts (census defined)
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Día 3: Polígonos Tiempos de evacuación en caso de tsunami en Horcón, región de Valparaíso, Chile. 🌊 Rojo sectores q demoran + de 10 min en evacuar. 🌊 Velocidad 1.79 m/s. Herramienta utilizada PEAT de @USGS Línea verde corresponde al límite área segura.
By Pato Osorio (@posorioc)
Siento que quienes crecimos con la florecita de Vive Sin Drogas, somos las más pachecas, ¿estaré equivocada? Hoy en el #30DayMapChallenge tocaba verde y no pude pensar en otra cosa ☘️. Según el INEGI, a nivel nacional 13.8% de lxs consumidorxs tenemos entre 17 a 35 años 👇
By Frida Celis (@frida_celis)
#30DayMapChallenge 18. Globe: Bonne projection centered to Tartu, Estonia 😋 playing around with the projections 🤪
By Evelyn (@evelynuuemaa)
Day 10 of the #30DayMapChallenge : Black & White… #IMNOS Dark Theme with @NASAEarthData for City Lights across the globe.
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Dia 3: polígonos Desigualdad en Latinoamérica Siguiendo la pista de las visualizaciones de @Juanizio_C, propongo esta visualización sencilla sobre el índice de desigualdad en los países de Latinoamérica (color rojo más intenso = más desigualdad).
By Colombia en datos (@col_en_datos)
#30DayMapChallenge Día 21. Medioambiente. Manifestaciones de Impacto Ambiental en el estado de Jalisco (2000-2019)
By IIEG Jalisco (@IIEGJ)
@Tutuchan @OSM_FR @opendatasoft_fr @thinkR_fr #30DayMapChallenge with #rspatial 13/30. Tracks. What a better time to draw railway tracks while #InTheTrainAgain !🚄 Main tracks used in 2019. #tmap #rstats
By Sébastien Rochette (@StatnMap)
@IYIL2019 @RILL_UVic @UN4Indigenous Día 24: Estadísticas / Matsyoomujkïn Consultamos los datos de @GoogleTrends para observar las tendencias de búsqueda de las palabras: #indígenas, #lenguaindígena, #dialectos y #mixe. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Day 15: Names Part of the memory of our city is the name of the neighborhoods. In this case, the names of some historic neighborhoods of Santiago (1930-1990) Nombres de algunos barrios historicos de Santiago (1930-1990)
By Juanizio Correa Parra (@Juanizio_C)
Day 8 green #30dayMapChallenge National parks, local parks and for my friend, off leash dog parks. Took ages as mapped all the dog data myself from local council lists. Parks data; local OSM & national NPWS. Why is it so hard to find local parks spatial data.
By Kylie Wilson (@_kyliejane)
[EN] Zone plans for emergency planning (polygons) in the vicinity of #nuclear #facilities zones 1 and 2 . #Population in person/ha (red- orange squares) https://t.co/yLiEgeXwJu by @ENSI_CH @StatSchweiz #30DayMapChallenge
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge Day 19 - Urban: Wrestling with Qgis2threejs, I managed this glitchy, blocky, 3D scene of building heights in Center City, Philadelphia
By Tim St. Onge (@TimStOnge)
@jdatap @jmcastagnetto #30DayMapChallenge with #rspatial 19/30. Urban. Where are big urban areas? All French cities and major cities around the World with {ggplot2} 🏙️ #rstats
By Sébastien Rochette (@StatnMap)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 16 (places): countries I still need to visit. Learned I've only visited 30 countries, and made my first #EqualEarth map
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 10 - Yellow Kōwhai is the Maori word for yellow and the name of the yellow flowering native trees (8 species). Here is the distribution of one of the species, as mapped out with observations recorded by the NZ Plant Conservation Network
By Timmy (@gallicist)
#30DayMapChallenge: Boundaries In #Delaware there is a little-known set of boundaries known as Hundreds. Once used for elections, they now only exist for property assessments. Thus an old-style color palette. Data: @FirstMap, info: Del. Geological Survey, map: in #QGIS 3.8.
By Philip Pierdomenico (@PhilPierdo)
Day 9 of #30DayMapChallenge - Yellow Public lighting in PARIS #opendata #paris #Publiclighting @opendataParis @Paris
By Ben (@benfriin)
#30DayMapChallenge Day 13. Tracks Tornado tracks across Kansas, Retrowave/Firefly-style. Data from https://t.co/eGjz3RKYeP
By Travis White (@visualvariable)
#30DayMapChallenge Day 30 Home Sweet Home, #Mom #OddThingsOnMyChristmasList @tjukanov Thank you for this challenge @7Javier6
By David Díaz Escandón (@ddiazescandon)
@openstreetmap @OSMcatala Day 21: #Environment Regiones Biogeográficas. MITECO. Vaig tard, sí... però fer-ho, ho faré jeje Bastant senzill el mapa (poc temps) però he aprofitat per tocar quatre cosetes amb l'Illustrator. #30DayMapChallenge #QGIS
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge Día 10. Blanco y negro. Hace 77 años, en 1942, se tomó esta fotografía aérea de Guadalajara. Es un valioso legado que nos permite conocer el desarrollo de la ciudad. La línea negra es el límite municipal. #Historia #Mapas
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 13 : Tracks - Etablissements d'édition musicale dans le Nord #RStats #OpenData #Nord https://t.co/ubwYz421OT
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge Day 17 theme is zones, so I made some random isochrones in #qis using data from @HEREmaps and #osm
By Sam J (@samwise_v)
#30DayMapChallenge Day 4, Hexagons(!). Here's a simple one: distance to the ballot box. Remember to vote tomorrow. You can also mail your ballot no stamp required! https://t.co/4S3mJQk6HU
By Ariel Kadouri (@akadouri)
#30DayMapChallenge Day 10: black and white The contrast between the housing shortage and real state development / el contraste entre el deficit de vivienda y el desarrollo inmobiliario Estimate of @f_vivienda with data of @INE_Chile
By Juanizio Correa Parra (@Juanizio_C)
Day 4 of the #30DayMapChallenge, hexagons. Another busy night in the Baltic Sea. Number of vessels per hexagon at 10 PM tonight.
By Matti Kokkonen (@MattiJKokkonen)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb @Datawrapper #30DayMapChallenge nr 26 (hydrology): Where each drop of rain in Europe (EU, actually) flows to
By Maarten Lambrechts (@maartenzam)
Day 3: #30DayMapChallenge, polygons. My habitat area in my town, based on places I've visited and routes I've travelled in October. This is becoming so sad🙈.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge 5 | Raster Hillshading the intensity of the built environment in the states as it changes between 1815 and 2015 (with data from a team at Boulder, who cleverly used modern assessments to estimate, https://t.co/I7rVB95gcN)
By Andrew Renninger (@AndrewRenninger)
Ireland in contour. #30DayMapChallenge #Day11 #Elevation
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge #NoNutNovember 😇 Level 1-3 health facilities in Kenya. Compared to population distribution per county
By dougie (@Meesterdoug)
#30DayMapChallenge 2. Lines made with #QGIS
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 6: Blue Another perspective of the inequality: Energy poverty / Percentage of homes without heating system in #Santiago / Porcentaje de viviendas sin sist de calefacción Data from @INE_Chile of Census 2012
By Juanizio Correa Parra (@Juanizio_C)
The #30DayMapChallenge for today (Day 9) is yellow, so of course one topic came immediately to mind. Terrain here is derived from Waffle Houses per capita. There's some interesting waffle ridges through Alabama and Mississippi. Analysis w/#rstats, map w/@QGIS
By Jerry Shannon (@jerry_shannon)
Day 28 of #30DayMapChallenge: funny. Not sure our events map qualifies, but we hope it has a certain whimsy with its MarkerClusters 🙂 https://t.co/AXqsdz4FI4
By GeoBeer Switzerland (@GeoBeerCH)
Green. Ireland is green so here's where Irish people live in Finland 🍀 Big surprises all around. I should totally make a book out of all these maps and force my friends to buy them and profit. Data: @Tilastokeskus #ireland #eire #population #30DayMapChallenge
By Faris Alsuhail (@AlsuhailFaris)
Day 22 of the #30DayMapChallenge with the theme Built Environment. I compared how much was being spent on building new houses in 2019 compared to 1999 🏠. The biggest growth was in the Mackenzie District, which jumped from 1.6m to 21m. I didn't expect that! #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
Dag 13 - Tracks (min oversettelse/tolkning: spor). Derfor en gammel slager som viser utbyggingstakten til T-banen i Oslo #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
I’m a day late but I’m eager to hop on the #30DayMapChallenge, so here’s day 2’s line map of pedestrian streets in #Poznan
By Antonia Blankenberg (@blanky343)
Count of #GAA clubs in Ireland - #30DayMapChallenge #Day4 #Hexagons - Data from: https://t.co/hX7EhnCO9W Some data issues can be seen
By Heikki Vesanto (@HeikkiVesanto)
Day 1 of #30DayMapChallenge – Points: The Point of Aotearoa New Zealand
By Andrew Tyrrell (@SouthArrowMaps)
The map for day 22 about the built environment shows soil sealing caused by human activity in the city of Tallinn. Soil sealing=loss of soil resources due to the covering of land by the built environment. #30DayMapChallenge #Tallinn #soil #builtenvironment #humanimpact #city
By Positium (@positium)
#30DayMapChallenge Day 6 - Blue Dams and the Waikato river irrigating Auckland City Data: @watercare_nz
By Timmy (@gallicist)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 14 (boundaries): This 3km straight line crosses the 🇧🇪-🇳🇱 *18* times
By Maarten Lambrechts (@maartenzam)
Day 21 of the #30DayMapChallenge with the theme Environment. I looked at the maximum wind & rain across NZ over the past 40 years from reanalysis data. Reanalysis data is not an observation - it's a way of getting data for all points & time periods using observations and a model
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 1. Points @tjukanov Borehole(Water) operational status of Arua District, Uganda @min_waterUg @mapuganda @UgFlyingLabs Data:@StatisticsUg @openstreetmap @hotosm @hotosm_uganda #challengeaccepted
By Allan Mbabani (@AMbabani)
#30DayMapChallenge Day 6...Blue!
By LDSI, Inc. (@LDSISurveying)
#30DayMapChallenge Day 24: Statistics Annual Probabilities of Tornadoes in SE USA. Based on historical data, not a prediction model! #GIS #Geography #Geographyteacher #Cartography #maps #map #weather #tornadoes #tornado #tornadoalley #environment #climate
By MyPhysicalWorld (@my_physical)
delayed by few days... Day 3 of #30DayMapChallenge: polygons. Rainfall in mandals (administrative region above villages) in Telangana state between this July-September. Made in matplotlib. Data from Telangana open data portal.
By Bhanu K ¯\_(ツ)_/¯ (@thoughtisdead)
#30DayMapChallenge Day 13 - Tracks @SEPTA regional rail network over population and terrain from @USGSLandCover. It makes sense of why the routes turn where they do, especially along the ridge that runs along the northern suburbs. H/t @DVRPC for the #GIS data Map made in #QGIS
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Day 16: Places. London, but which London? Maybe New London? Certainly not the real London.
By Craig Williams (@williamscraigm)
Day 17 of #30DayMapChallenge is zones, so I've gone back to one of the big maps I used to look at in geography lessons instead of learning about glaciated valleys (again).
By Ian Turton (@ijturton)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 20 (rural): Agricultural crops in my municipality (Diest, Belgium)
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge 1-points Used Mapbox API into @tableau: 1. Default projection in Tableau 2. Mollweide projection Learn more about projections and how to do this in #tableau with Sarah's blog series. https://t.co/Lr5sHXvTIw My viz (spot Hawaii... 🙃) https://t.co/gLNAc1Aim4
By A. D. Mac (@AdiBop_)
30 Day Map Challenge Day 4 - Hexagons(?!?!?!) A bit late in the day on this one (it's already day 5 for lots of y'all doing this!). Hexagons are fun! #geography #30daymapchallenge #gischat #cartography #dataviz #esri #challenge #day4 #map @tjukanov
By Garret Merle (@gmsooner)
#30DayMapChallenge Day 11 - Elevation Plan des hauteurs, ville de Paris
By Gaëlle (@Gaelle_Sutton)
A ver si aplica para el #30DayMapChallenge Names El #WordCloud no tiene mucha precisión analítica, pero ayuda a visualizar los pesos de palabras, como algunos le llaman que es el "gráfico de pastel" de los datos de texto. fuente: #inegi y #sct
By Carlos Cortés (@jccpmx)
#30DayMapChallenge #LASMaps ¿Qué dicen las portadas de los periodicos latinoamericanos hoy domingo 1° de dic.? https://t.co/dbbrI7FfhU
By LASA-Latin American Studies Association (@LASACONGRESS)
#30DayMapChallenge Day 1: Points (I got some catchin' up to do! LiDAR (point cloud) Hocking Hills Ohio! #gis #maps #map #geography #geographyteacher
By MyPhysicalWorld (@my_physical)
Day 25: #30DayMapChallenge. #Aerosol concentration over Africa for June 2019. @geospatialwomen @CERSGIS_GH @CopernicusEU
By AB Ansah (@Ms_Pixels)
For Day 2 of #30DayMapChallenge (lines), here's a road map of Manhattan Island inspired by Escape from New York.
By Ariel Kadouri (@akadouri)
Just a quickie today. Another older idea re-done with extra eye candy. Hexagon grid with values from an underlying raster with a shapeburst fill that changes distance. https://t.co/idzUEi0ahW #30DayMapChallenge #QGIS
By cartocalypse (@cartocalypse)
#30DayMapChallenge 20: Rural Another GIF #map of @USGSLandCover in #Delaware. Sussex County is mostly rural but has been growing steadily. I did some calcs of LC and got an ratio of rural cells in the raster for each year. Still quite rural but (literally) losing ground..
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge 7. Red French vines cartogram Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 29: Experimental / 2018 summer trip with an Instagram kaleidoscopic filter
By Alice Caron (@Alice_Caron_)
30 mins playing around with layers in ArcPro brought about this rather weak start to #30DayMapChallenge . Still good to see Netherlands glowing Oranje
By David Ager (@TheAgermeister)
#30DayMapChallenge Day 15 names "Densité de rues mentionnant le nom ou prénom Thomas" Particularité = recherche des autres mots associés et leur fréquence. Premier: la religion puis les grands hommes et quelques types de lieux: moulin, bois, clos, champ(s)
By Thomas gratier (@ThomasG77)
Rural bus routes in Ireland, state subsidised and private. #30DayMapChallenge #Day20 #Rural Holy legend...
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge 8. Green The visibility of chlorophyll is thought to be accentuated with the Triangular Greenness Index. Plankton within Hood Canal has a stronger signal than local terrestrial plants, but there is enough overlap to make visualization challenging.
By John O'Leary (@OLjohnel)
Black & White Ternopil city #30DayMapChallenge Day 10: Black and white #monochrome Data: #OpenStreetMap contributors #qgis
By gontsa (@gontsa)
#30DayMapChallenge Day 10 : Black and white - Admissions en licences de SHS dans parcoursup (échecs et stratégies ?) #RStats #OpenData https://t.co/jGVtjSvhTE
By Cécile Rodrigues (@Grisoudre)
For this last #30daymapchallenge I visualize the home and building area in #quebeccity. Many thanks to @tjukanov for this #dataviz challenge. It was a nice motivation to see all these awesome #gis maps created by talented people. 🥳
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge - Day 11 : Elevation Lombok Island DEM from @InfoGeospasial processed with @qgis
By Adityo Dwijananto (@adisadit)
#30DayMapChallenge Day 19: Urban. Based on open data, travel times (isochrones) and some layer blending in QGIS I made this 'Blue Zone' map. It's still work in progress.
By Marcel Dekker (@marcel__dekker)
‼️ Rayshader 0.13.1 is on the CRAN! Make gorgeous maps in just a few lines of #rstats code. Join me for my #MusaMasterclass this Friday to get a hands-on introduction to #rayshader: https://t.co/VdYxwNfyT0 (I'll also say this is my #30DayMapChallenge for Day 11, Elevation🙂)
By Tyler Morgan-Wall (@tylermorganwall)
#30DayMapChallenge Día 28. Chistoso. Recuerden que si ocupan información sobre Jalisco pueden visitar nuestra página https://t.co/VlTleAzo4H
By IIEG Jalisco (@IIEGJ)
Here's a bit of the Blue Ridge Mountains quickly rendered with #GDAL for "Blue" day of the #30DayMapChallenge. Source is SRTM90 grabbed from https://t.co/aZMBtWJXfz
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 9: Yellow - Seasonal Range of the Yellow-Bellied Sapsucker https://t.co/UQwYG9qT3u
By maptastik (@maptastik)
#30DayMapChallenge Día 4. Hexágonos. Mapa de los municipios del estado de Jalisco hexagonizados.
By IIEG Jalisco (@IIEGJ)
Personas que viven a más de 3 mil metros de altura y personas que viven cerca del mar. fuente: mapas de densidad de población de #facebook. #30DayMapChallenge Statistics Population
By Carlos Cortés (@jccpmx)
Day 7 (red): Another important climate signal in the Mediterranean is heavy/extreme precipitation, which is projected to increase under climate change. This will have major consequences for the distribution of water and soil erosion, stay tuned! #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge 16. Places Church buildings, Norway.
By Tore Halset (@torehalset)
#30daymapchallenge 30 - home continuing the love affair with London, here's the building density per 100m grid square of the city that we love. #osm, #alteryx, and #tableau ▶️https://t.co/pAzlHtCSoJ
By A. D. Mac (@AdiBop_)
Protektitaj Monumentoj de Francio #Esperanto #30DayMapChallenge Tago 22 : Built Environment
By Reĝa Ardeo (@RegxaArdeo)
#30DayMapChallenge Day 06 - Blue Le relief #Corse
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge: Day 5: Raster Peuples et ressources du Xinjiang
By Agnès Stienne (@odilon72)
Estamos en #Elecciones10N así que para el blanco y negro del #30DayMapChallenge pinté este mapa: Porcentaje de votos del partido ganador de cada municipio en las Elecciones de Abril de 2019. Más negro = mayor porcentaje.
By Pedro Suárez (@pedro_com_es)
Traveling to Kansas for #30DayMapChallenge Day 9: Yellow. The Kansas state code officially designates a portion of U.S. 54 as "The Yellow Brick Road", and the city of Liberty as "the land of Oz".
By Ariel Kadouri (@akadouri)
#30DayMapChallenge Day 4: Hexagons. World population, binned by 1. Sorry, moving houses, no time in the coming week.
By HD (@HarelDan)
#30DayMapChallenge Day 11: Elevation LiDAR Analysis of the Campus of Hocking College, Nelsonville, Ohio. #gis #lidar #geographyteacher #geography #GeographyAwarenessWeek #cartography #maps #map
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge day 12. Ok, this is getting trickier. I had to get out of my comfort zone & step out of Finland. a) data with time is not easy to acquire, b) animations need some experience. Here is my first attempt to use GIMP. It went the wrong way😀. Data USGS, earthquakes.
By Sanna Jokela (@SannaJokela1)
Dia 8: Verd. Boscos a Catalunya. Frondoses, Coníferes i Mixt. CORINE Land Cover 2018 (3.1) #Catalunya #QGIS #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge Day 3, theme - polygons. Showing protected marine environments. Data sourced from JNCC.
By Kate Amanda Booth (@Kate_GIS)
@glitch @Mapbox @kelsosCorner @MtnMapper @LeafletJS Day 3 theme for #30DayMapChallenge was Polygons. I made five (!) maps using global bathymetry data from Natural Earth, each in a different projection using @qgis. No, I did not use Mercator. Yes, I did use TWO azimuthal equidistant projections. https://t.co/IJlKqULmch
By Lyzi Diamond in New York 🍎 (@lyzidiamond)
#30DayMapChallenge Day 8 #Green 🌴🌲🌳 Urban trees inventory Santiago de Cali #Colombia Every dot represents a🌳 in the public space (Source @DAPMCali https://t.co/PAP6RfNzdg ) Using: @qgis @openstreetmap #gischat #UrbanAnalytics #Geograpy
By Diego Pajarito G. (@diegopajarito)
@fenwaypark Day six of the #30DayMapChallenge (blue)... Here's a density plot of every batted ball at Wrigley Field last season
By Daren Willman (@darenw)
Raster Rivers & Railways. Day 5 of the #30DayMapChallenge is to create a raster map. Here's an interactive raster map of the World's Rivers. https://t.co/EEIZiJjtCJ
By gmapsmania (@gmapsmania)
Naturaleza que fluye y perdura: Ríos libres, Bosques intactos y manglares en el mundo. #Agua #Forestal #30DayMapChallenge
By AgroDer (@AgroDer)
Posting this a little late, but what’s funnier than a map in comic sans? #30DayMapChallenge Day 28: #funny
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 14, boundaries
By Sam J (@samwise_v)
Day 4 of #30DayMapChallenge -hexagons. Localisation des exploitations agricoles spécialisées (vaches laitières, bovins, caprins/ovins) et les industries agroalimentaires (à partir des codes emballages produits), France 2018. #OpenSirene #QGIS @OpenFoodFactsFr @InseeFr
By Ben (@benfriin)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh #Day9 #30DayMapChallenge: Yellow. Or to be more specific, gold. Number of gold medals in 2016 Rio Olympics per million inhabitants.
By DoctorJ (@garciaart3)
For Day 5 of the #30DayMapChallenge I ended up taking a quicker/easier path than my original plan and animated this year's minimum temperature rasters from the @nwscpc using #rstats. https://t.co/vNG5NE2Afn
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Day 4 (Hexagons) of #30DayMapChallenge. Used @geopandas and @APIGouv for this one. 🚴 ♂️
By Joaquin Beltran (@kimus_93)
Country names to define the world for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
@tjukanov @vega_vis Day 4: Hexagons Who came second in the last UK General Election? More colour saturation indicates closer margin. Small dot, winning party. Pleased to have generated this entirely within Vega-Lite. Workings & data: https://t.co/6cYSckxQ6L #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Día 18. Global. Gobiernos subnacionales en el mundo. Los países con mayor número de gobiernos subnacionales son: Gran Bretaña (232), Eslovenia (193), Letonia (119), Filipinas (118) y Uganda (112); México está en el lugar 30 junto con Indonesia.
By IIEG Jalisco (@IIEGJ)
Day 20 (rural): Today's map depicts mobile connectivity in Papua New Guinea based on cell coverage. #30DayMapChallenge #map #celltower #mobile #connectivity
By Positium (@positium)
#30DayMapChallenge Day 30: Home 🏠 This last one is a bit weird! Animated #dataviz of origin-destination commuter flows (census data) into Manchester (closest to home) routed via OSM and made into arcs! 😁 What a fun month! #maps #3d #animation https://t.co/QJAOpxFzKq
By Craig Taylor (@CraigTaylorGIS)
Day 6 of #30DayMapChallenge - blue - Précipitations du mois d octobre 2019 en France - #qgis #precipitations #interpolations @meteociel @meteofrance
By Ben (@benfriin)
Playing catchup with the #30DayMapChallenge as the hotel wifi wasn't up to big raster downloads. For day 6 - blue here is a bathymetry map.
By Ian Turton (@ijturton)
Dag 7 er rød, men gjør det enkelt ved å vise alle stedsnavn i Norge med 'rød' i navnet. Data fra Geonames. #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge showing places with free wifi in #Rimouski. #rstats #dataviz
By Philippe Massicotte (@philmassicotte)
Starting late for the #30DayMapChallenge . Couple of maps from a series produced using the atlas in #QGIS . Showing the origins of workers and how many for census datazones, with links where there are 10 or more.
By sebastian hudson (@hudsonseb)
Me uno al #30DayMapChallenge Day 2: Lines. Shoreline analysis last 6 years. Día 2: Líneas. Análisis de línea costera durante los últimos 6 años. Pérdida de playa 🏖 Sector Playa Monolito, Chanco, región del Maule. DSAS Tool, @USGSCoastChange
By Pato Osorio (@posorioc)
Day 16 of #30DayMapChallenge: places Schools of Santiago, #Chile by monthly cost | Costo de mensualidad de escuelas. Compare to @Juanizio_C's social boundaries. MINEDUC data + #chilemaps https://t.co/MGexxqkRp6 #rstats Code: https://t.co/rE5aTHxSDW
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Day 7 of #30DayMapChallenge — Red 🚍 London bus routes along real road network topology. Day routes vs. night routes. Tools: QGIS Data: @TfL
By Robin Hawkes (@robhawkes)
#30DayMapChallenge 6. Blue Blue for blue cheese production areas in France (yeah, it's all about the blue mold effect) #MadewithQGIS #TeamRoquefort #TeamBleu #TeamFourme
By Romain Lx (@lacxrx)
GIS Specialist Benoit Thierry mapped Montreal area residents’ perceived neighbourhoods versus borough+ municipal boundaries using INTERACT data #30DayMapChallenge #boundaries Blue= perceived neighbourhoods Red= borough + municipal boundaries
By INTERACT (@TeamInteractCA)
Day 23’s map is looking at non-Irish populations across the country #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 17 - Zones. Fellow traveler, you've no idea how oddly frustrating but satisfying but still frustrating it was to georeference and reproduce Burgess' famous 1925 zonal Chicago map. The labelling takes so long that you REALLY get time to question the logic 😩
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge day 8: green. Lomakohdevinkki. Lapin eteläpuolella on niukasti mun makuun tarpeeksi erämaisia paikkoja. Pohjois-Karjalan ja Kainuun rajaseutu on ihan ok. Vähän ihmisiä, paljon hiljaisuutta ja muutama vanhempi metsä. Data @LukeFinland ja @Maanmittaus.
By Teemu Saloriutta (@TeemuSaloriutta)
Day 10 of #30DayMapChallenge - B&W Cinéma #qgis #sig #opendata #cinema
By Ben (@benfriin)
Tracks! Animals leave tracks, except puffins, who are too smart. So they have to be outsmarted. This puffin seems to have been all over the place (or perhaps it fooled us all 🤔) Data from: @MovebankTeam / Aevar Petersen #naturalearth #30DayMapChallenge #puffin
By Faris Alsuhail (@AlsuhailFaris)
Day 8 (green): Climate change will cause an increase in plant water stress, which is the combined effect of longer dry periods and an increase in temperature #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 16 of the #30DayMapChallenge : Places…Some places on where to go to find some seismic activity over the last 60 days from @USGS…or where not to go. #IMNOS
By Patrick Nelson (@pnelson917)
A bit late but joining the trend! #30DayMapChallenge Day 1 Theme: #point The map shows the Airbnb price listing for a day in New York City. #Airbnb #NYC #GIS #cartography
By Fahim Hossain (@fahimgeoarts)
Sticking with #rstats {tigris} for Day 10 (black & white) of #30DayMapChallenge and presenting a borderless Maine defined only by how we we've built connections (roads) to each other. Code: https://t.co/vNG5NE2Afn + GL/BB/SrcHut/GitUgh
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 8 - Green This is protected public lands in #Delaware. Lots of wildlife areas along the bay. All data from @FirstMap; downloaded shapefile, then added a Map Server basemap, of course I blended the two (I ♥️ Multiply) Made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
Day 11 of the #30DayMapChallenge — an Elevation Profile of the 38th Parallel across the U.S. Profile from https://t.co/HHE09QLApp, extracted with https://t.co/tzdvJKLNTL, cleaned up in Illustrator. My girlfriends says this should be wrapped around a mug. DM for orders?
By Riley D. Champine (@rileydchampine)
Costa Rica and Panama Forest Map - #opendata @JAXA_jp @openstreetmap @USDOS Sources: https://t.co/NyIFE1tZep https://t.co/Np5n0AAFVH https://t.co/rhwNjjJKTh #30DayMapChallenge
By Justin Meyers (@MapMakinMeyers) in USA
Day 11 (elevation): I made a short animation of a LiDAR image (5m resolution) of part of the study area I am working on #30DayMapChallenge Data obtained from: https://t.co/xnbjF9fRdK
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day 20 is rural. Here is a quick LiDAR elevation analysis of a portion of the Driftless Area in Wisconsin. #cartography #GIS #LiDAR
By Kendell Welch (@kendelldotio)
Day 1 (Dots) of #30DayMapChallenge. Source: https://t.co/zi1YvSh0Tt, total count: 47551. No need for roads anymore 🙃
By Joaquin Beltran (@kimus_93)
One more #30daymapchallenge The past 20 men's marathon records (since 1967) compared with Eliud Kipchoge's 1:59:40 run in Vienna in Oct. The two red runners are Kipchoge, the first is his 1:59:40 run. The second his world record. The route is the Berlin Marathon route.
By Alastair Otter (@alastairotter)
Ráster en #30DayMapChallenge. Los 17 673 topónimos de @canarias_es que el @IGNSpain recoge en su Nomenclátor Geográfico Básico de España, usados como capa de opacidad (con malla hexagonal de 5 km. de lado) sobre una foto de satélite de la @NASA_es del pasado 15 de septiembre.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge 4. Hexagons: Endangered species (protection category III) in Estonia
By Evelyn (@evelynuuemaa)
#30daymapchallenge Blue. This was inspired by a gorgeous, intensely turquoise photo of a chain islands in the Caribbean by photographer Steve Zmak. 1/2
By Barbara Kent (@SDGeoGirl)
Grabbed the national rails database off of https://t.co/spcsFakfxn for today's #30DayMapChallenge. They're trainTRACKS! Going for completion of this challenge is going to be the death of me. The hillshade is inverted because #cartography I guess...
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 28: 🤣 You can make a map of Kansas with a small tear to the corner of an 11x17 sheet of paper. Happy Thanksgiving 🦃
By Craig Williams (@williamscraigm)
@giangonz @HCorderoGuzman @miguelrios @JoseABNolla @manuelnatal @SouthwestAir Porcierto de la población trabajadora que utiliza transportación pública. A lo más que llega es a 8% y es en San Juan, Cataño y Loíza. Tal parece que la transportación pública es utilizada solo en San Juan y areas adyacentes. #30DayMapChallenge
By Alexis R[ex] Santos-Lozada (@AppDemography)
#30DayMapChallenge #Day2 - Irish waterways as lines using @openstreetmap and #QGIS.
By Maedhbh Nic Lochlainn (@niclochg)
Today's #30DayMapChallenge offering charts my running for the past 3 years. Short runs are in blue. Pinker lines are longer ones. https://t.co/2vTzRZ8iUy
By Alastair Otter (@alastairotter)
Day 29 of #30DayMapChallenge ~ * Experimental * ~. Here are all the counties that harvested turnips in 2017… in the shape of a turnip (???). [good time to note that none of these maps I’ve made for the challenge are employer-sanctioned, please do not fire me]
By ಠ_ಠ (@DeniseDSLu)
Day 24 of #30DayMapChallenge, statistics, uses the same data and base map as day 23. How many more statisticians than mathematicians in 2013, by region. code https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
A map of line plots of #snow cover duration (derived from MODIS, 2000-2016) for Otago. Shameless #joyplot, I guess it fits the line theme for #30DayMapChallenge
By Todd Redpath (@toddrednz)
#30DayMapChallenge day 5: Rasters - Bottom fishing tows in Icelandic waters html: https://t.co/JPqx0rSvQT
By Einar Hjörleifsson (@fishvice)
Población con percepción de inseguridad en el Área Metropolitana de Monterrey en Septiembre 2019. #30DayMapChallenge Day 07 - Red.
By Daniel Vigil (@d_vigilr)
#30DayMapChallenge Day 6: red Trucks (veh/h) in west Sao Paulo #rstats #atmoschem
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Población rural en el mundo desde 10,000AC - 2017DC #30DayMapChallenge Rural fuente: proyecto HYDE
By Carlos Cortés (@jccpmx)
@glitch Day 1 theme of #30DayMapChallenge is Points. I submit this realtime map of earthquakes in the last hour as recorded by USGS, built with @Mapbox GL JS. And because it runs on Glitch, feel free to remix the project and play with it yourself! https://t.co/UTABYXNbdm
By Lyzi Diamond in New York 🍎 (@lyzidiamond)
Black and white Bangalore city Map for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
@Syracuse1848 #30DayMapChallenge Day 10: Black and White (finally caught up!) Syracuse's City Streets with Interstate 81 dimmed in brightness since one day a large section of it will be removed. Data: https://t.co/xxFu6iC1M2 Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Day 7: Red Plànol dels camins ramaders de Catalunya. https://t.co/fNrKq7cHy0 #CaminsRamaders #ViasPecuarias #DR #CP El post @iAgua Con o sin agua, concetración parcelaria 2.0 🚜🚜🚜 🐏🐏🐏 https://t.co/VMO4pzxQkv
By Ignasi Servià (@iservia)
#30DayMapChallenge: a small #hydrology map the shows flow patterns in the landscape based on #dhm data from @info_vlaanderen
By Michel Stuyts 🌍 (@michelstuyts)
No.11 Mt. Fujisan's Tanaka counter and level map with {tanaka} and {rasterVis}. This data set was used in a project to visualize Japanese volcanoes https://t.co/0PC5TqMOaH. Original: JAXA’s ALOS world 3D 30m DEM. https://t.co/DZfEAQQ8OF #30DayMapChallenge
By Uryu Shinya (@u_ribo)
#30DayMapChallenge Day 12 - Movement Australian bushfires as seen from the Himawari-8 satellite. https://t.co/YvraUJFYxI
By Keir Clarke (@KeirClarke)
Bengaluru on @openstreetmap - bleeding blue for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Día 19. Urbano. En Jalisco existen 238 localidades urbanas en las cuales reside el 77% de la población del estado.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge #day4 #hexagons
By joshua sumers (@joshua_sumers)
Day 4 hexagons #30DayMapChallenge Not sure about this sightings data 😂 ...23 in close vicinity to the wildlife zoo & maritime museum, but I love turtles 🐢
By Kylie Wilson (@_kyliejane)
#30DayMapChallenge Day 12: Movement Playing around with the recently released HSL city bike data (https://t.co/gUWclE8nCt). #Pandas to wrangle the data, #QGIS to process and visualize. This is just scratching the surface of this data though, a lot more can be done!
By Tatu Leppämäki (@Tadusk0)
#30DayMapChallenge - Day 22 - Built Environment. 1km squares (156243 in total) of England showing where there is at least one residential address (as defined by @GeoPlaceLLP #Addressbase). Grey indicates where addresses are present #CadcorpSIS #GIS
By Cadcorp (@cadcorp)
#30DayMapChallenge Day 15: Names #Berlin road network by name/suffix forming colorful networks 💛💚💜🧡💙 #ggplot2 #tidyverse #rstats #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 1⃣2⃣ Movement: Ferry routes on Lake Como, one of the best places on Earth 🇮🇹 Notice the high traffic around the world famous Bellagio 😊 All data from @openstreetmap, map designed in @qgis 🗺️
By Marco Minghini (@MarcoMinghini) in Italy
Day 17: Zones Seven nation s lay claim to territories of the Antarctic by declaring zones of ownership. Meanwhile the native residents look on with bemusement. Workings & data: https://t.co/QV26P4Af4G #30DayMapChallenge
By Jo Wood (@jwoLondon)
Just 4 more days! Day 26 of the #30DayMapChallenge (#hydrology): A map of Estonian water bodies and place names with the word 'water' in them. The three most common place names are Vesiroosi - 48 (water lily), Vesiveski - 42 (watermill) and Vee - 23 (water's). #water #map
By Positium (@positium)
🗺 No.2 River flowing through Japan Rivers water systems have a fine network. Let's take a closer look by region 👀 🦉 Code: https://t.co/Br2QmFk8C2 #30DayMapChallenge
By Uryu Shinya (@u_ribo)
#30DayMapChallenge Day 11: Elevation Really liked the style posted by @cartocalypse but wanted to add in some text which was done in inkscape. Also had issues exporting so I turned it into a script. The Tararuas are a mountain range outside of Wellington https://t.co/4UvSJsci00
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 12: Movement an ode to @dinopoloclub a wellington game studio full of incredibly nice people and their fun metro style game. The lines are base don wellington train lines. Made with open source. The game itself has lots of movement...
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 28: Funny 🐕 🦺🌽 Lost in Maize! This isn't new but looking back was pretty funny (not at the time!) Here is a quick visualisation of what happened when my dog Bryn got lost in a maize field. 🟠=🐶 🔵=🚶 ♂️ 🟢=distance #maps #3d #animation #dogsoftwitter
By Craig Taylor (@CraigTaylorGIS)
Reflecting on my success this summer with the flyrod. Being a geogeek, of course I logged every fish, its location and size 🎣 #30DayMapChallenge, Day 10 b/w map #CapeCod #Falmouth #WoodsHole #catchandrelease
By Greg Fiske (@g_fiske)
#30DayMapChallenge 15. Names Describing the place of an emergency by its name can be dangerous. Red lines between places closer than 1 km with the same name. Kristiansand, Norway.
By Tore Halset (@torehalset)
#30DayMapChallenge day 18. Globe. Volcanic ring of fire. Done using #qgis and #b3d using Eevee and Bloom, still from an animation
By Steven Kay (@stevefaeembra)
Day 16: Places #30DayMapChallenge #rstats #codein1tweet data: https://t.co/sHFyCkhdvS code: library(sf) places <- st_read("nz-historic-places.kml",quiet=TRUE) %>% st_transform(crs = 2193) #dateline fix plot(st_geometry(places$geometry),pch=".", main="NZ Historic places")
By David Hood (@Thoughtfulnz) in New Zealand
Dia 11: Elevació. Província de Lleida, Lego Style (o un intent). #30DayMapChallenge #QGIS
By Gerard M. Porras (@Gerardathletics)
Today’s #30DayMapChallenge theme is “elevation”. While we may not have much of it here in The Netherlands it doesn’t mean it’s all flat. The Limburg panhandle has some rather cheeky little climbs, which I like to bike, and a lot of them are captured here. #cartography #lovemaps
By One Stop Map (@onestopmap)
Día 26, reto 'hidrology' #30DayMapChallenge Sigo sin tiempo así que publico algo sencillo. 'España. Ríos, cauces artificiales y embalses.' Fuente: mapas del @IGNSpain .
By Pedro Suárez (@pedro_com_es)
My #30DayMapChallenge no. 7 - population change in Auckland region 2018 Census vs 2013. One dot per additional person. A few areas had small population reductions that are not shown. Code: https://t.co/Xn2gaSuv1w
By Aaron Schiff (@aschiff)
My Day 10 effort for #30DayMapChallenge (black & white) a map explorer/gallery. Click to change cities. https://t.co/kmEiO6UKd3
By Alastair Otter (@alastairotter)
#30DayMapChallenge Day 9: Yellow A controversial plant? Either way, Forsythia is one of the best signals that Spring is around the corner when it blooms. #gis #geographyteacher #geography #map #maps #cartography
By MyPhysicalWorld (@my_physical)
Day 5 of #30DayMapChallenge: raster. Horomaka | Banks Peninsula elevation from NASA Earthdata raster. Code: https://t.co/jZWBLteYuO #Rstats
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Isochrones map by time on cars between cities Lutsk an Rivne, Ukraine. on the left is Lutsk - Population: 217,103 on the right is Rivne city - Population: 247,356 #30DayMapChallenge Day 03: Polygons #qgis #openrouteservice
By gontsa (@gontsa)
#30DayMapChallenge rasters. Left is a raster of the SRTM elevation data from natural earth and right is a population heatmap from GPW. In both left and right you can see the highly populated watersheds of the Ganges and the Indus. #maps #cartography #raster #srtm #india
By indiaviz (@indiaviz)
#30DayMapChallenge Day 15: Names.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge #Map_01 #Points Millora de sòls per la plantació d’arbrat viari. @bcn_ajuntament @BCN_Ecologia @argalleitor 156603 Points Tree BCN. 🌲🌲🌲 Els arbres ens dibuixen l'eixample.
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 14: Boundaries There are no boundaries on this map as it is my subtle reminder of how great it would be if there was an actual official NZ localities dataset. Maybe one day... Mostly blender GDAL and GIMP
By Pete King (@Generally_Geo)
Day 17 of #30DayMapChallenge - zones: All the zones, overlays, precincts etc defined in Auckland's Unitary Plan (urban planning rules). Each layer is black with 10% opacity, so darker areas have more planning rules. Code: https://t.co/grzlRKDBIo
By Aaron Schiff (@aschiff)
For #30DayMapChallenge Day 19 (Urban) I thought I'd redo a map I made a few months ago in R with my new friend QGIS. It's the happiest I've been with my QGIS efforts so far (but still room for improvement)
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge #hastaBrasta #fasterRaster #OpenData #DTED #DEM @ClimateCentral recalculated SRTM @OrdnanceSurvey derived by me from elevation grid East Anglia coastal area susceptible to coastal inundation
By Andrew Zolnai (@azolnai)
#30DayMapChallenge 4th day - Hexagons Same data as yesterday, this time visualizing total protected areas by country, in % of total terrestrial land and as square km. More info in https://t.co/sbs4nbdJ8I
By Irene de la Torre (@inari_ta)
#30DayMapChallenge Polygon simplification. This time with Latvia.
By emil (@57x025)
Black & white day in #30DayMapChallenge: I wonder if we are going to have a #whitechristmas 2019! Made with #rstats #ggplot2 and data from @IlmaTiede. Code: https://t.co/ankVPBx555 #weather #snow #Finland
By Arttu Kosonen (@datarttu)
For today's #30DayMapChallenge I made 50 maps, because with #qgis atlas once you've made one, the other 49 are free. This stems from a visit to Rhode Island on the way to Boston for #FOSS4G 2017, when someone told me they grew up in a county bigger than RI.
By Ian Turton (@ijturton)
#30DayMapChallenge Day 28: Funny (I hope) Sanctuary Cities for Thanksgiving Turkeys in the USA. (this map is early because tomorrow is Thanksgiving) #gis #geography #geographyteacher #cartography #maps #map #arcgis #qgis #landsat #landsat8 #TurkeyPardon #HappyThanksgiving
By MyPhysicalWorld (@my_physical)
Día 29: Experimental / Tanï'ijxy ¿Dónde se ubicaría el sitio que fuera hipotéticamente accesible (en línea recta) a todas las comunidades mixes? El centro geográfico del territorio mixe está entre los límites de Cotzocón, Chimaltepec y Malacatepec. #30daymapchallenge
By Colmix (@Colmixe)
Day 21: Environment Around 9000 people in London die annually due to polluted air, largely because of motor traffic. https://t.co/fjMBBFvCuL Experimenting with rhetorical mapping. See also https://t.co/2agy22DbuE Workings & data: https://t.co/FAQHjalXIu #30DayMapChallenge
By Jo Wood (@jwoLondon)
So far behind, and a bit of a cheat for #30DayMapChallenge but Day 10 - elevation and the 3D printed route map of my Glen Lyon ultra made by my legs, Strava and the awesome guys at @3DPrintMyRoute
By Fiona Tweedie (@fjtweedie)
Day 19,5 of #30DayMapChallenge - Urban 🏙️ 🏛️ Architectural styles of the city (center) of Oradea🇷🇴 VERSION2⃣ - because what's better than realizing 4 hours later that you forgot to add one color to the legend 🙃
By Arnold Platon (@Arnold_Platon)
Another quick one for Day 5 of #30DayMapChallenge (Raster) - reusing some earlier styles for this slope raster hillshade of the Hokonui Hills, Southland.
By Andrew DC (@andrewdc_nz)
Así de verde el cerro de la silla en #Monterrey #NuevoLeon #México y sus alrededores. #Sentinel2 con eliminación atmosférica. #30DayMapChallenge Green
By Carlos Cortés (@jccpmx)
Lokoj nomataj "esperanto" en la mondo. #Esperanto #30DayMapChallenge Tago 16 : Lokoj.
By Reĝa Ardeo (@RegxaArdeo)
#30DayMapChallenge 4. Hexagons Since 2014, over 5,000 dead hedgehogs were seen and added to the database of @waarneming . On this map you'll find the deadliest places in The Netherlands. Interactive version 👇🏻https://t.co/oUv8t43NLo
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge day 5 - raster GFS planetary boundary layer height forecast (for 1800z, 4th Nov.)
By David Berry (@David_I_Berry)
#30DayMapChallenge Day 22: Built Environment. This one is a bit low effort, but I worked on a nice interactive urban planning web app a couple of years ago using MapboxGL JS and a bunch of fancy research. Lego simplicity + high quality science makes for a fun way to plan change!
By Alex Leith (@alexgleith)
#30DayMapChallenge Day 15: Names This is a #map of all the towns in #Connecticut that have similar names. There are a lot of "North"s, "New"s etc. Notable is how East Hampton is actually west of Hampton. Not sure how that happened.. Made in #QGIS with @uscensusbureau data
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge , nr. 8, "green"is het thema. Jaren geleden al maakte ik een kaart van openheid en overbouwing in het Nederlands UNESCO-Werelderfgoed, de Beemster is er één van.
By Bart Broex (@bbroex)
Poblando la tierra. de 10,000AC-2017DC History Database of the Global Environment #HYDE #30DayMapChallenge Environment
By Carlos Cortés (@jccpmx)
#30DayMapChallenge. Day 4-th Hexagons World Flood Risk Potential
By Denis Krivoguz (@pony_mapper)
#30DayMapChallenge Day 2 - Lines A map of my locality with only the linestrings rendered
By Sweary Dave (@citizenfishy)
My submission for #30DayMapChallenge day 2 - lines: Commuter rail (not Amtrak) in northeastern US. Some data was hard to find (esp @MTA). I've taken these lines from Wilmington DE to New Haven CT. Shows how challenging #railroad is in US. #Map produced in #QGIS 3.8.
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge 12. Movement 24 hours of AIS south of Norway. LeafletJS, Torque.js.
By Tore Halset (@torehalset)
#30DayMapChallenge 2- Lines "Bus Routes in Washington .D.C " Format : Geojson @Mapbox @AdiBop_
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge : jour 6 (y a pas eu de jour 5, déso), nous avons « bleu » programme. On part donc sur une carte des membres du Commonwealth selon leur régime politique (en nuances de bleu 🔵), et avec la meilleure projection du monde : celle de Buckminster-Fuller.
By Pierre Breteau (@pierrebrt)
Day 10 black and white "Populated places or human desert?" #30DayMapChallenge Done using QGIS, Natural Earth data, Global Human Settlement Layer 2015 (GHSL). Data idea borrowed from https://t.co/yN9UNuawvP (thanks @undertheraedar !) Compass/wind rose => https://t.co/RDDpUm67Ao
By Thomas gratier (@ThomasG77)
#30DayMapChallenge day 4: Hexagons. Quickly put together in #qgis based on random #osm data for public phone boxes in london
By Sam J (@samwise_v)
Day 9 of #30DayMapChallenge: yellow. Energy grid in New Zealand. Thick lines: pylons, thin lines posts. LINZ data #Rstats Code: https://t.co/4yJx9YXg4w
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
@f_l_o_u_r_i_s_h Interpreted both "map" and "red" loosely for #30DayMapChallenge nr 7: temperature anomalies by lat and long over time, with 2 Hovmöller diagrams
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge day 10 B & W. Fathers day in Finland, so thought about suitable gift to my dad. I rarely change the north angle, but seemed suitable with the grid plan of our town. Buildings from NLS-FI.
By Sanna Jokela (@SannaJokela1)
Day 21: Environment @ABbiodiversity ‘s massive 2010 land cover inventory with a dash of Living Atlas terrain layers. #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 22: Build Environment 🏨 Same idea as 'yellow' and another NYC #dataviz (!) but it looks cool! This viz shows the historic construction date of all current #newyork buildings. *Height exaggerated* Data via: https://t.co/RZtQXYe8BG #maps #3d #animation
By Craig Taylor (@CraigTaylorGIS)
Six years of movement. Logarithmic projection centred on home. #30DayMapChallenge - day 11: Movement
By Andrew Campbell (@ozy_man)
A very quick look at HSL City Bike travel data. Only travels from a station to another station present (also, some stations were missing?), routes with less than 100 travels not on the map. Data: @HSL_HRT @HSLdevcom #avoindata #opendata #pyöräily #helsinki #30DayMapChallenge
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge Day 28: Funny. At least I chuckled a bit myself at these funky city bike curves showing hourly departures in April 2019 from Aalto University & Kulosaari metro station respectively. Data via @HRInfoshare Source: https://t.co/2CKDhHVu14 #rstats #sf #gganimate
By Tuija Sonkkila (@ttso) in Finland
#30daymapchallenge Map_29 #Experimental. Mapa ensayo de variedades de maíz de 2018 🌽 #Tecnifield Hoy comparto 2 últimos posts @iagua Y si en Canal d'URgell dejara de producir maiz? https://t.co/pol8YiAiuo El final del tunel de la Agricultura 4.0 https://t.co/A94ec2syGU
By Ignasi Servià (@iservia)
For the "Hexagon" theme of today's #30DayMapChallenge, I only had time for a quick screenshot of a super dope hexagon-shaped building: Fort Jefferson in @DryTortugasNPS. Read up on "Bastion Forts" to learn why forts shaped like this exist. #ScreenshotForTheWin
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 1 - Points with Vancouver tree dataset (https://t.co/iNPLZTODWA) #rstats
By Chisato (@chisatini)
#30DayMapChallenge Day 21 #Environment 💧Sistemas de captación de agua de lluvia en la Ciudad de México #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge #Day3 - Dublin buildings as polygons using @openstreetmap data and #QGIS. I especially like how the new build dockland courtyard developments look like square doughnuts.
By Maedhbh Nic Lochlainn (@niclochg)
Day 26 #30DayMapChallenge (Hydrology) - Avon River, Christchurch Network Map with bridge crossings. This one I did a few years ago but never got around to releasing properly.
By Andrew DC (@andrewdc_nz)
#30DayMapChallenge Day 28. Funny. In Mexico, we have a state that looks like a (schnauzer) puppy. #RStats {leaflet} with a lot of schnauzer photos from google.
By Juvenal (@JuvenalCamposF)
Catching up (and will try to stay relatively current) on the #30DayMapChallenge starting with Water Main Breaks in @Syracuse1848 since 2004. Code: https://t.co/6Ifx2n3Kz5 Data: https://t.co/0DWJJlxCNT
By Sam Edelstein (@samedelstein)
Names. I ran a sentiment analysis on @helsinki street names (or street address name points) using the demo tools of #Kielipankki. As we all know, the machine never lies. Such cheerful results. Data: @HelsinkiKymp #30DayMapChallenge #helsinki #nimistö #dataviz #maps
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge #mapvember #rebelmapvember working on Red Antarctica… not quite what I was after, but need to finish tinkering for today! @NSIDC coastline, #REMA elevation, @qgis rendering with #SAGA GIS topographic opening
By Adam Steer, doctor of all the things! (@adamdsteer)
#30DayMapChallenge day 4: traffic accidents as a hexagon map #opendata
By Nadiia (@NadiiaGorash)
#30DayMapChallenge Day 3 - Polygons I was trying to do something a bit more insightful but it wasn't working out, so went the opposite way and made something useless but fun: NZ's Wards recreated as voronois, then going crazy with QGIS rendering effects. Like WordArt for maps
By Timmy (@gallicist)
#30DayMapChallenge 14 - Boundaries "Maritime Boundary between India and Srilanka" @Mapbox @tableaupublic Viz: https://t.co/ZD9h9U21bq
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge Day 20: Rural - Edale Moor from Upper Derwent Valley #aeiralod #opensource #defra #lidar #peakdistrict #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
@col_en_datos @qgis @CitiBikeNYC Early Day 4 #30DayMapChallenge: Hexagons. Same dataset as Day 3, number of traffic related injuries in Bogotá with road map overlain with two hexagon sizes. See that small hot red hexagon downtown ? My girlfriend used to work right there... and was not in the least surprised
By DoctorJ (@garciaart3)
Avec un peu de retard pour le jour 3 dédié aux "polygones" pour le #30DayMapChallenge. Voici le pingouin d'urbanimal (pour voir la collection en entier, c'est par là : https://t.co/RejfdVYero) #lagéoçasedessine #polygone #maps
By Justine Vignat (@Junevgt)
Day24 #Statistics #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
Où est-ce que l’usage de la voiture diminue en France ? Réponse avec cette cartographie interactive qui montre l’évolution de la part des actifs qui utilisent la voiture pour aller travailler entre 2011 et 2016. #30DayMapChallenge #dataviz @InseeFr https://t.co/FrrIpxAw7M
By visualizemap (@visualizemap)
4. Hexagons #30DayMapChallenge Search interest of the mexican telenovela *Rosa de Guadalupe* in Google Trends by state. #Maps #rstats #Mexico #RosadeGuadalupe
By D. (@daniel_isita)
@IYIL2019 Día 19: Urbano / #PujxKäjp El aumento de población en las comunidades #mixes ha generado zonas proto-urbanas. La forma de los polígonos de estas zonas difieren según se ubiquen en la sierra o en la zona baja. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge 25: klimats. Nāk ziema, gribas ko siltu. Gada laikā Liepājā Saule spīdējusi par 16 diennaktīm ilgāk nekā Daugavpilī, bet Rīgā tomēr vissiltāk.
By Zane (@atdodkonfektes) in Zane Atstāja
Day 11 of the #30daymapchallenge is 'Elevation'. Take a moment to appreciate the challenges of the western front at #VimyRidge #WWI with an interactive #elevation profile map. Explore the layers too! Questions to K12@esri.ca #LestWeForget #RemembranceDay https://t.co/hN6Jnn2xjB
By GIS for Education (@GIS4Teachers)
#30DayMapChallenge Day 8: Green 🌳 Animated swathe of lidar from the Willamette National Forest Lidar (Aug 2008) Data via https://t.co/tQOgNEQBhv #map #animation #3d #lidar
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Day 4: beehives in Germany
By Inga (@ing_ressive)
#30DayMapChallenge Day 9: Yellow Location and density of contributing companies in #SantiagodeChile / Localización y densidad de empresas contribuyentes en Santiago Data from @SII_Chile and geolocated by the wizard @colivos17
By Juanizio Correa Parra (@Juanizio_C)
For the Day 20 "rural" theme I thought I would map without rural areas, imagining New Zealand's urban areas[*] as an archipelago. (Hint: the arrow points north.) #30DayMapChallenge #QGIS [*] new 2018 @Stats_NZ classification
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
LOL! Here's a word cloud of the most common words in tweets containing "lol" in the U.S. I'm an #rstats native, but Python's wordcloud worked much better in this case for the masking to the shape of the U.S. Still working on frequency counts. #30DayMapChallenge, day 28: funny.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge lines! Years since last resurfaced of the ~6,300 miles of roads in NYC (cut off SI :) kind of #OpenData but isn't on NYC Open Data Platform...
By Zhi He (@zhigus)
Día 30: Home ¿Sabían que #AirBnB ofrece en renta más de 4 mil deptos/casas enteros tan solo en @AlcCuauhtemocMx? ¿Esto tendrá afectaciones para quienes viven ahí? ¿Habrá personas desplazadas de sus viviendas debido a la incursión de AirBnB en el mdo? #30daymapchallenge #rstats
By Luis David R (@1LuisDavid)
#30DayMapChallenge Day 17: NPWS protected zones (SPAs, SACs, NHAs) in Co. Kerry
By Antonia Blankenberg (@blanky343)
Map of recycling points in Edinburgh. The colours represent the number of residents per recycling point. #30DayMapChallenge Day 19, urban . . #mapping #Edinburgh #GIS #Map
By Livia Jakob (@livia_jakob)
#30DayMapChallenge day 25: Climate the average monthly temperature from ERA5 in northeast China, December 2016 A bit cold #rstats #lattice #spplot
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Day 7: Red Urban land cover (red) in #Pennsylvania using @USGSLandCover and @USGS DEM rendered in hillshade; I liked the results so much I made a 2nd #map for #Virginia I changed the land cover style using colors from @PetersonGIS Carto Toolkit Tools: #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Día 5. Ráster. Análisis sobre sitios remotos en el estado de Jalisco, las zonas marcadas en rojo no cuentan con camino o carretera en por lo menos 20 km.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 4...Hexagons!
By LDSI, Inc. (@LDSISurveying)
#30DayMapChallenge day 15 - Names. A revisit to xmas 2 years ago when I played around with anagrams of GB Place names. See https://t.co/6hixV4GhwT for more details.
By Ian Turton (@ijturton)
#Europe by 15 species of Pine trees Data: @EU_ScienceHub #30DayMapChallenge - Green
By Jacopo Fochi (@jacopofochi)
Highlighting @openstreetmap bus stops across urban spaces for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
Belated Day 2 Lines - Offshore pipelines administrated by the UK in the North Sea (Data from @ogauthority). This network only shows pipelines, there will be multiple other cables and service lines down there too. It's like a big bowl of spaghetti down there. 🍝 #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
Day 12: Movement #30DayMapChallenge Isochrone map of maximum travel distance from my home town within 15 minutes. Data: Nationaal wegen bestand (NWB) & BRT achtergrondkaart (grijs)
By Leo (@hendrikxleo)
#30DayMapChallenge 27. Resources Available water storage capacity Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 21: Environment Distribution of pollutant emissions (CO2) of RETC registry of @MMAChile / Distribución de emisiones contaminantes (CO2) del Registro de Emisiones y Transferencias de Contaminantes (RETC) Data: https://t.co/nTt3e4kWwX
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge day 19, Interpolation by DBH of 250000 trees in urban areas in Cali, Colombia -“La Sucursal del Cielo”/ Interpolacion de 250000 árboles por DAP en el área urbana de Cali -“La Sucursal del Cielo” @ddiazescandon #QGIS #TeamTrees @EnterateCali @elpaiscali #urban
By Javier (@7Javier6)
Aporte para el #30DayMapChallenge Day 7 - Estratos Socioeconómicos Bogotá, Colombia - @col_en_datos #red
By Jefferson sanchez (@JeffersonKlo)
Day14 of #30DayMapChallenge Theme: Boundaries. For day 14, a map showing the birth place of the Roman Emperors across the 400AD Roman Empire. #rstats, #tmap
By Ifeoma Oti Egbogah MSc (@negbogah)
#30DayMapChallenge Day 2 - Lines (some) geographic lines
By Gaëlle (@Gaelle_Sutton)
Schladming, Austria #30DayMapChallenge #elevation #rayshader
By Sebastian Hancock (@_sebastianch_)
Day 15 of the #30DayMapChallenge - #names Pubs called #George from UKMap data over UKMap Edition 23 (September 2019). UKMap is a large-scale mapping database of the Greater London area. It contains many attributes which allows for the extraction and querying of features.
By GeomniUK (@GeomniUK)
Day 27 of the #30DayMapChallenge : Resources…Global Major Mineral Deposits (aka some Natural Resources) from around the globe via @USGS #IMNOS
By Patrick Nelson (@pnelson917)
Origen-Destino Terminal de Autobuses de Pasajeros de Oriente (TAPO). Datos de #movilidad. Day 29: Experimental. #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Day 18: Globe A number of countries have practiced or are flirting with the rhetoric of isolationism. Careful what you wish for. Images: England, US and North Korea. Workings & data: https://t.co/4hNTphEQyA… #30DayMapChallenge
By Jo Wood (@jwoLondon)
@IYIL2019 Día 20: Rural / #Nääjxkäm En la mayoría de las comunidades mixes la tenencia de la tierra es de tipo comunal, en varios casos con posesión de Títulos primordiales de la época colonial. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Day 8 - Green. Here we have every country in the world with the colour green appearing on its flag. Note the density in Africa. Let's see if I have missed any! Full image at: https://t.co/qBe9NQhCmq
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Day 4 Hexagons 🚲🌏🛰️ Frictions inhibiting bicycle commuters. A concept from my PhD thesis #bicycle trips➡️ #AndroidApp Spatial analysis➡️ @postgis grids and #dataviz➡️ @qgis (Find more here https://t.co/UqQZ2hFzjY) #gischat #geography #urbancycling
By Diego Pajarito G. (@diegopajarito)
#30DayMapChallenge Day 18. Globe The antipode of Kansas is in the southern Indian Ocean. Data from Natural Earth.
By Travis White (@visualvariable)
I was on a short wellness vacation so here is Day6 to Day 9 of the #30DayMapChallenge with the same style - public transport and its stops in #Berlin 🚏🚌🚉 #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 5: Rasters - French/Swiss Alps, looking towards Mont Blanc from Chatel #DEM #SRTM #3d #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge 17. Zones PDO-PGI summarized zones Made with #QGIS and #rstats (kknn)
By Romain Lx (@lacxrx)
#30DayMapChallenge day 2 - lines. Here is a map of the Ethiopian road network. Large clump near Adis Ababa #map #maps #cartography #africa #Ethiopian #roads #infrastructure #lines
By indiaviz (@indiaviz)
#30DayMapChallenge #Map_04 Hexagons Saps quina comarca de Catalunya es aquesta a vista d'hexàgons.
By Ignasi Servià (@iservia)
#30DayMapChallenge Dia 6 : Azul Mapa que muestra el índice de marginación calculado por CONAPO en los municipios del Estado de México. No es el mejor mapa pero fue el primero que hice en R hace algunos años 😋 #rstats #rstatsES #datosdemiercoles
By Gerardo Najera (@Gerard_Mauro)
A somewhat rushed #30DayMapChallenge entry for tdy ("Resources"). The USGS has some super cool data. Turns out Maine has more mineral deposits than I expected, they're just super hard to access/extract. Also #rstats {stars} is ⭐️⭐️⭐️⭐️⭐️ (+ {ggplot2} {sf}) Code up in a bit.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Glasgow has some of the best tap water in the world. Piped in directly from the Highlands, from Loch Katrine, along a 40km aqueduct. #30DayMapChallenge #Day26 #Hydrology
By Heikki Vesanto (@HeikkiVesanto)
Ya sé que es trampa, pero para el día 10 "blanco y negro" del #30DayMapChallenge, algo sobre el tema de coyuntura. Poblaciones de Bolivia con respecto a su número de habitantes.
By Manuel Toral (@jmtoralc)
It's the 4th of November which means the day of Hexagons in the #30DayMapChallenge! We just uploaded this map to Location Insights Explorer, showing the location of animal rescue incidents attended by the London Fire Brigade. It's pink! Have a look: https://t.co/4i9xVxLZyk
By Emu Analytics (@emu_info)
Voici ma première contribution au #30DayMapChallenge N'hésitez pas à venir me suivre sur mon compte perso ou mon compte pro @Grantime1. https://t.co/sCDNV18bNN
By Granié Alexandre (@Alex_geomatic)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh Late #Day10 #30DayMapChallenge: Black and White. Consumption of Colombian coffee by country in 2018.
By DoctorJ (@garciaart3)
#30DayMapChallenge Day 15: Names Counties in the United States name after Presidents. #gis #geographyteacher #geography #maps #map #cartography #POTUS
By MyPhysicalWorld (@my_physical)
Rainfall Intensity in Los Angeles (24 hour rainfall events, data going back 50 years) 9. Yellow #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
Day 14 of #30DayMapChallenge: boundaries Conservation land type boundaries in the Taranaki District, New Zealand. Big circle is Mount Taranaki. LINZ data + #rstats Code: https://t.co/hpS0FK9rlS
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 5: Raster. Viking color mosaic with a little bumpification with MOLA relief. Data from NASA. Projection Equal Earth (Equal Mars?).
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 07 - Red La #Corse : un territoire qui a ses propres règles 🔴🔴🔴
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge Day 27: Resources #Landsat is an amazing instrument for exploring the world's resources and its only getting better! #gis #geography #geographyteacher #cartography #maps #map #landsat8 #naturalresources #USGS #geology #morenciarizona #arcgis #qgis #ilovelandsat
By MyPhysicalWorld (@my_physical)
Day28 #funny #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
Where do the refugees come from in 2019, where do they go? The line thickness indicates number of people resettling Jan-July. Data: @Refugees Interactive map: https://t.co/qaGIsQ0TA5 #30DayMapChallenge Day 6: Blue Using https://t.co/dfrl3GQrCc by @ilyabo
By Jon Olav H. Eikenes (@jonolave)
Another #30DayMapChallenge × #TidyTuesday contribution - Day 24: Statistics × Week 2018/33 A bivariate map showing mean and variance of annual Malaria death rates in African countries from 1990 to 2016, using data from the WHO. #ggplot2 #r4ds #tdiyverse #rstats #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Día 23. Población. Distribución de la población en el estado de Jalisco, consulta más información sobre población en https://t.co/11VfM4okJd
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge DAY 18. Zones -Exclusive Economic Zones, edged matched to Eurostat country boundaries avaiable https://t.co/UQcQVC248L -Disputed areas not shown @tjukanov had a similar idea -data https://t.co/eKUNEGoa2Q - joined contrib by @EU_Eurostat E4 - 12days2go- #GISCO
By hannes reuter (@hireuter)
Siguiendo la dinámica de @Juanizio_C. #30DayMapChallenge: Puntos. Densidad de población en cantidad habitantes por hectárea (hab/ha) para Santiago, Chile. Los puntos representan a cada manzana censal del INE. Fuente: Censo 2017.
By Humberto Iván (@humbertoivanrm)
#30DayMapChallenge 14. Boundaries - Schengen Area, travelling without constraints - joined contributions by our @EU_Eurostat E4 Team - 16days2go - #GISCO
By hannes reuter (@hireuter)
#30DayMapChallenge Day 11: Elevation. In early December, during the polar night, I'll be cross-country skiing here in Saariselkä, somewhere inside the V5211 grid by @fgi_nls DEM 10 m. Code: https://t.co/4HwNBNuU5s #rstats #ggplot2 #rayshader
By Tuija Sonkkila (@ttso) in Finland
Day 14 of #30DayMapChallenge - boundaries: Auckland's Rural Urban Boundary. Outside the RUB, urban development is generally not permitted. Code: https://t.co/DT3xtigyGP
By Aaron Schiff (@aschiff)
#30DayMapChallenge 6 - BLUE "Global Flood Analysis" @tableaupublic @tableau @Mapbox https://t.co/cTEX80sIwk
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge Day 15 – names (a repost with some small tweaks) The roads of #Helsinki Metropolitan Area colored by suffix. Tools: #Python, #QGIS Data: #digiroad #MadewithQGIS, #avoindata Idea and most of layout copied from this great blog post: https://t.co/dB8BSWxor4
By Thomas Banafa (@ThomasBanafa)
#30daymapchallenge Day 02: lines "Sendero de Chile" (IDE, 2019)
By Mauricio González (@magonza9)
#30DayMapChallenge 4. Hexagon I haven't done hexagon maps before, or better say, the data i usually work with are not detailed enough to be nicely visualised using hexagon-map. But let's try: Schools in Berlin #dataviz #data #maps #ggplot #rstats #hexagon #Berlin #schulen
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge with #rspatial 3/30. Polygons: Polygons in polygons... > Where is this Loire-atlantique department 🇫🇷 your see in the maps 🗺️ above? #rstats Inspired by my blog post on "Polygons tint band with leaflet and {sf}": https://t.co/PAHa6yba9l
By Sébastien Rochette (@StatnMap)
Day 6 of #30DayMapChallenge – Blue: Relative Elevation Model of Wairau River, Marlborough
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge #QGIS Map_10 Black & White. #Catalunya in B/W by codimuni. Today we're 🤔🤔🤔
By Ignasi Servià (@iservia)
Day 1 of #30DayMapChallenge. UNESCO world heritage sites, cultural=blue, natural=green, combo=purple, red halo=endangered. Challenging to show 2 categorical variables. Suggestions, ideas welcome. #creativecarto #gischat
By Innisfree (@Innisfree)
#30DayMapChallenge 2. Lines In Warwickshire a small knoll called Round Hill has a 'summit' only 14m above its base and as such is bereft of contours on the wonderful @OSleisure map. Courtesy of #lidar, I've added some contours at 1m intervals to help Round Hill stand proud😉
By Helen Cooper (@HelenOfStow)
#30DayMapChallenge Day 3 theme - polygon! Here is kind of a useless map I made. The map reimagines the municipal boundaries of #Alberta Province of #Canada. The #thiessen polygons were created from the population centres. #cartography
By Fahim Hossain (@fahimgeoarts)
Won’t be able to catch up on the #30DayMapChallenge but I wanted to do ”Day 14: Boundaries”. One of my favourite creative solutions to an international border problem: ”Märket” 🇸🇪🇦🇽🇫🇮 https://t.co/nq9EdHi07g
By topografen (@topografen)
Día 27 'recursos' #30DayMapChallenge. 1 315 centros educativos (no universitarios) en #Canarias. Principalmente CEIP e IES. Incluso a escala municipal cuesta dibujarlos. Fuente: mapa y datos de @GRAFCAN y @EducacionCan
By Pedro Suárez (@pedro_com_es)
Day 17 of #30DayMapChallenge: zones New Zealand statistical fishing zones overlaid over bathymetry. One day late as #Rstats crapped out, so I went for #QGIS this time. Data: Fish https://t.co/qXXpTLm3GM Bat https://t.co/nNt5WDcue2
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Day 29: Experimental #30DayMapChallenge The land of the rising sun 🗾 Data: ALOS Global Digital Surface Model, GEBCO Gridded Bathymetry Data
By Leo (@hendrikxleo)
Watershed area of small river Kovray (Cherkasy region, Ukraine) and stream detection. #30DayMapChallenge Day 26: Hydrology Data: SRTM, OpenStreetMap contributors SAGA GIS, #QGIS
By gontsa (@gontsa)
#30DayMapChallenge 3 - polygons (again cos i did hex yday 🤪) 100m grids derived from London LSOAs, intersected with crime data. Processed in #alteryx and visualised in #Tableau getting into unresponsive territory with tableau... https://t.co/MsfPPE914e
By A. D. Mac (@AdiBop_)
Day 6: Blue Started this map to enter @pinakographos monochrome competition, went off task and missed the deadline by several months. Fun fact, compasses don’t work on #BylotIsland due to its proximity to magnetic north! #30DayMapChallenge #PondInlet #Nunavut #WomenInGeospatial
By Allison Cully (@AllisonCully) in Canada
Early entry into tdy's "Rural" #30DayMapChallenge using @USDA's 2017 Ag Census to look at Farms (most are, indeed 'rural') in 🇺🇸 + (keeping w/'cyber' theme) farm Internet access over-time. #rstats {readxl} {sf} {geofacet} {tigris} {albersusa} Code: https://t.co/vNG5NE2Afn
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
I was on a short wellness vacation so here is Day6 to Day 9 of the #30DayMapChallenge with the same style - public transport and its stops in #Berlin 🚏🚌🚉 #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb #30DayMapChallenge nr 24 (statistics): Population by lat/long marginal histograms added to population grid maps. Still very rough, would love to develop this some more and do it for all countries
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge 19 - urban grid density streetlights in greater manchester. processed in #alteryx, viz in #tableau. really the shapefile is too big for tableau - unresponsive, too heavy to interact with, laggy. anyhow - https://t.co/4lVHLaGdme
By A. D. Mac (@AdiBop_)
(le coloriage c'est toujours pas ça 🙈) Jour 21 - Environnement - #30DayMapChallenge La gestion durable d'un milieu littoral : le golfe du #Morbihan.
By Aurélien (@pivaurelien)
#30DayMapChallenge Day 14 - Boundaries Frontières administratives #Corse
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge Day 1, Points. California wildfires by size and season of the year, 2000-2018.
By Barbara Kent (@SDGeoGirl)
#30DayMapChallenge 19: pilsētvide. Pretmeti. Iedzīvotāju kņada un dabas miers.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge #mapvember #rebelmapvember fuel moisture from @anu_wald, geometry generator joyplots from @cartocalypse, plus @qgis layer rendering. higher peaks = more wildfire risk. Australia is sleepwalking the world to catastrophe so map it like it is.
By Adam Steer, doctor of all the things! (@adamdsteer)
Día 8: Verde / #Tsujxk El bosque de niebla es uno de los ecosistemas más diversos del país. En el estado de Oaxaca se hallan algunos de los manchones más grandes de este tipo de bosque, y la Región #mixe cuenta con una superficie importante del mismo. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge 3rd day - Polygons It took me a while to find an idea, but at the end I stumbled with the protected areas data from @protectedplanet More info in https://t.co/u7Wj5fCqp5
By Irene de la Torre (@inari_ta)
#30DayMapChallenge Day 7 : Red - Représentation du PCF aux dernières élections dans le Nord #RStats #Nord #OpenData https://t.co/wRlDAzimpC
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge jour 5 - Raster Données @sentinel_hub Vue d'une partie de la Charente-Maritime (Oléron, Marennes, Rochefort notamment) @oleronmarennes Outil : @qgis et plug-in SCP
By Aurelien Chaumet (@AurelienChaumet) in France
#30DayMapChallenge 4. Hexagons As you enjoy 🇫🇷 #agriculture, here is the distribution of some crops per 3km hex tile #MadewithQGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge day 10: B&W (better late than never 😉). @cristinapoiata and I went with a simple map of US states, made in the browser using https://t.co/M7UnCVFl1z and https://t.co/tBSKlhzG4L. #cartography #geography #dataviz
By Richard Zimerman (@RichardZimerman)
#30DayMapChallenge Day 7: RED (Sorry, Late...was under the weather yesterday) Landsat 8 image analysis of crop planting from previous year. Floods affected crop planting in 2019. #gis #geographyteacher #geography #map #maps #cartography #Landsat8
By MyPhysicalWorld (@my_physical)
Just Contours and roads in and around Griffith Park 2. Lines #30DayMapChallenge
By Omar Ureta (@theworksla)
#30daymapchallenge Lake Superior and my adventures around her.
By Justin Meyers (@MapMakinMeyers) in USA
A ploygons #30DayMapChallenge day 3 Electric and hybrid vehicles as a percent of total NZ registered vehicle fleet, by Territorial Local Authorities code: https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge Day 3. Polygons 🔀Playing with spatial aggregation scales to otherwise represent population density and population ;) Dataset @InseeFr / Made with #KeplerGL cc @heshan_cheri
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge day 1: points. Tervahaudat Suomessa / Tar pits in Finland. 14776 features. Data from super cool @Maanmittaus topographic data #OGCAPI beta: https://t.co/5ukCMj8JFh
By Teemu Saloriutta (@TeemuSaloriutta)
In honor of #MLSCupPlayoffs , Day 6 of #30DayMapChallenge is #MLS themed. Current players by birth-state (June 2019).
By Marc Marean (@marcmarean)
Day 11 of #30DayMapChallenge. #DEM over the Eastern region of Ghana showing the Highlands of the Akwapim Togo Range....@geospatialwomen
By AB Ansah (@Ms_Pixels)
#30DayMapChallenge nr 1, "Points" als thema. Welke rijksmonumenten liggen binnen 1 km van mijn meest gebruikte Strava-start-/eindpunten?
By Bart Broex (@bbroex)
#30DayMapChallenge Day 2: Lines - 6* Months of Citrix Cycle Routes in Raleigh #gischat https://t.co/3RW1dRqF16 * Technically only 5 months. Gremlins got the June data.
By maptastik (@maptastik)
#30DayMapChallenge 𝐃𝐚𝐲 𝟐𝟗 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥: This map shows the 100 least-connected #urban #agglomerations in #Africa. 80% of the least-connected agglomerations are in the #Sahara and the #Kalahari Desert. https://t.co/k9YP0fzqro
By SWAC OECD (@SWAC_OECD)
#30DayMapChallenge Day 9: Depicted in yellow - residential areas covered by the old bus network in Tartu. The bus service area is 300m from bus stops. Explore this map in more detail at https://t.co/sYqQFsJeB8 #maps #publictransport
By Positium (@positium)
#30DayMapChallenge Espacios culturales independientes en México https://t.co/2wBJR3aTR2
By Mishelle Muñoz (@mishelle_mg)
Exclusive Economic Zone Boundary Ireland #30DayMapChallenge #Day6 #Blue
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge 10: B&W. Snow depth yesterday at weather stations in Finland https://t.co/EC30aMsItz Code: https://t.co/i4rBDDnjSb The bigger the circle, the more snow. Was lazy and used data via https://t.co/Fam2x9LlyP but glad to see there's #fmi2 ! @rOpenGov #geofi #RStats
By Tuija Sonkkila (@ttso) in Finland
saw few of #30DayMapChallenge, so wanted to try out too. Here's for the "Day 2: Lines" - Vancouver "Avenue runs East to West (Red) . There's no "Avenue" in Downtown, just "Street" and lots of "Lanes" . #rstats
By Chisato (@chisatini)
Let's try to continue this #30DayMapChallenge with #rspatial in this thread. 2. Lines: Averaged daily number of light vehicules 🚗 by road in Loire-Atlantique department (France)🇫🇷 #rstatsFR
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day12: Movement. Had a play with @LDN_data air quality estimates on a journey across the city (with thanks to #geogiffery tips taken from blogs by @undertheraedar and @tjukanov)
By Sam J (@samwise_v)
@Syracuse1848 #30DayMapChallenge Day 7: Red 2018 building fires in Syracuse Data: https://t.co/raj9XTAc2k Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Day 08 - Green, another play on the colour: Pharmacy Densities in Leeds City Region: Epanechnicov Kernel Density at 2km Radius, showing hot and cold spots, and areas with no pharmacies, built in @qgis using @openstreetmap and @OrdnanceSurvey data.
By AndrewBoltonBPDTS (@ABpdts)
Día 25: Clima / Ja än ja xux El 2019 ha sido el año más seco en la región #mixe desde que se iniciaron los registros del "Monitor de sequía en México". El más afectado es el municipio de Guichicovi, seguido de los municipios de Cotzocón y Mazatlán. #30DayMapChallenge
By Colmix (@Colmixe)
#30DayMapChallenge 5. Raster Topographic map of the Weald, nestled between London and the South Downs. Also looks like a dinosaur brain scan. Maybe that's just me... Source: OS Terrain 50
By Helen Cooper (@HelenOfStow)
#30DayMapChallenge Day 25: Climate What if? Effects of sea level rise on Ft. Myers, FL. (1ft, 5ft, 10ft rise). #gis #geography #geographyteacher #cartography #maps #map #sealevelrise #sealevel #environment #climate #ftmyersflorida #florida #capecoralflorida
By MyPhysicalWorld (@my_physical)
Finally had a chance to get to a #30DayMapChallenge. This is a comparison of the "EDDI" (drought index) for Nov. on the west coast across 3 years. 2019 has truly been extremely dry, even compared to other "drought" years (Brighter yellows means drier conditions!) #cawx #rstats
By Ryan Peek (@riverpeek)
#30DayMapChallenge Day 15: Names VT towns were required by law to look after their own poor/disabled. This led to "poor farms." Although the last one closed in 1968 & some towns renamed their "Poor (or Town) Farm Road" other towns did not, so this vestige of VT history remains.
By Kerrie Bushway (@kemby_geo)
Next in my catch up on the #30DayMapChallenge is Day 6 (Blue)... nothing fancy, just trying to explore some new, less-familiar data sources.
By Garret Merle (@gmsooner)
Day 17: Zones. Creating a slope between differences in aerial imagery color values suggesting homogeneous regions. Data @LINZLDS. Made with love, @qgis and gdal. #30DayMapChallenge
By XYCarto (@XyCarto)
#30DayMapChallenge Día 26. Hidrología. Cuencas exorreicas y endorreicas de Jalisco, en una cuenca endorreica sus aguas descargan a un cuerpo de agua interior, en las exorreicas los escurrimientos confluyen y desembocan en el mar o en un sistema lagunar costero, (INE, 2017)
By IIEG Jalisco (@IIEGJ)
Day 19 of #30DayMapChallenge - Urban. Here’s a dot density map of people living in food deserts in New York, based on census tract-level data from USDA.
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 10: Black & White Population density of Bangkok and Thailand 2015 Made with #qgis Source: GHS-pop #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
#30DayMapChallenge 28. Funny - A selection of funny comments recorded in the LUCAS survey (~900 people2survey ~330k points) -info:https://t.co/5zB5PYwDKC -data:https://t.co/T747oMDgFd -vis(only 2015):https://t.co/ENbdn6U8UN -contrib by @EU_Eurostat E4 #GISCO #LUCAS- 2days2go
By hannes reuter (@hireuter)
#30DayMapChallenge day 6: blue. All springs in the Finnish topographic database by @Maanmittaus.
By Teemu Saloriutta (@TeemuSaloriutta)
#30DayMapChallenge Day 13: Tracks Each vehicle identified by vehicle radars from the first radar (origin) to the last radar (destinations) #rstats #cptcity Color palette: pd_astro_mars_sand_dunes02
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge day 11: elevation. (parts of) Luzon topography with colors of the Eye of Sauron. Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) processed using QGIS.
By BA Racoma (ᜊ) (@bumaBAgyo)
Day 19 of the #30DayMapChallenge, urban. Parking fines imposed in Helsinki 2014-2017. I guess this is also one way of mapping the city.
By Matti Kokkonen (@MattiJKokkonen)
Día 2: Líneas Hasta el 2018, pocas carreteras de la Región #mixe estaban pavimentadas, la mayoría de ellas sigue siendo de terracería, sobre todo en la zona media. #30daymapchallenge #Mëjtuuꞌ
By Colmix (@Colmixe)
#30DayMapChallenge 22 - built environment was always gonna happen at some point in the month...re-release of this old chestnut. Air quality in LDN linked to the built environment 💁 ♀️ #alteryx #qgis
By A. D. Mac (@AdiBop_)
#30DayMapChallenge day 17: Seismic #zones in #France // #MadeWithQGIS
By Michel Stuyts 🌍 (@michelstuyts)
For the final #30DayMapChallenge I live in Philadelphia now, but home will always be where I grew up in the suburbs of northern Delaware. Here's a map of where I lived, went to school, and worked for many years before moving on to the big city. Thx @tjukanov
By Philip Pierdomenico (@PhilPierdo)
Población indígena en México por regiones. más altura ->más población... #30DayMapChallenge Population
By Carlos Cortés (@jccpmx)
"Safe" Parking Streets in Los Angeles 2. Lines #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
#30DayMapChallenge 22. Built Environment - Urban and High density clusters derived from 2011 Census - info:https://t.co/caB4Mf4r8z -data https://t.co/PrAXv7fUWB -vis:https://t.co/c7aLX5he2q joined contributions by @EU_Eurostat E4 Team - 8days2go- #GISCO
By hannes reuter (@hireuter)
#30DayMapChallenge Day 2: Lines Roads in Thailand Made with #qgis Source: Thailand MSDHS (2014)
By Note Dherapat (@prospero021)
Experimented a different projection for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge 15: vārdi. Latvijā ir 45 Atpūtas. Un mums priekšā trīs brīvdienas atpūtai.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge 7: Red. The app 'Red-listed rainforest trees' dates back to 2014 (and the age shows) https://t.co/YG6q6cFNUR Also, the GBIF API q wrapper rgbif has had a facelift (great!) so my old #rstats code isn't reproducible any longer. More at: https://t.co/AWPdP18kCF
By Tuija Sonkkila (@ttso) in Finland
day 11 of #30DayMapChallenge and it turns out you can't quite fully work out lidar data and rayshader in an hour but you can get fairly far 1metre resolution LiDAR elevation data for Midsummer Common in Cambridge plotted in rayshader and as a raster. Also google maps to compare
By Robert Hickman 🐝 (@robert_squared)
World bathymetry data from Natural Earth for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Day 19 : Urban - Lignes et arrêts de bus dans la MEL #MEL #RStats #OpenData https://t.co/VBKAOFzIAa
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge Day 6 - Blue #Bathymetry #map from Natural Earth data, nested polygons for depths to 10000m. Each layer is the same color, but blending mode (multiply) creates depth. I also made a point to use #EqualEarthProjection. Made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Day 12: Tracks - CyclePhilly Raw @CyclePhilly routes getting all twisted in the urban canyon. Honored to have been part of an epic @CodeForPhilly project that provided the perfect environment for @AcriCAA @gurulloyd @Banderkat to build a great app #civictech
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Tracks. The tracks of my dog playing fetch. #minimalistmap
By Barbara Kent (@SDGeoGirl)
#30DayMapChallenge 28. Funny: Icy Estonian counties - the last few days Estonia has been literally covered by ice, so I made a little cartographic representation of the feels 😆❄️🌨️
By Evelyn (@evelynuuemaa)
Día 5 Raster: Indice de Accesibilidad, utilizando PCA con las distancias de todas las manzanas del estado de Cuautla, Mor, Mex. y sitios de accesibilidad. 'Es curioso, es como si la "accesibilidad" siguiera a las carreteras.' #30DayMapChallenge #rstatsES #rstats #ggplot2 #OSM
By Enrique Santibáñez Cortés (@EnriqeSc)
#30DayMapChallenge Day 22 : Built environment - Bâti à Lille #Lille #RStats #OpenData https://t.co/2hk6c24eQk
By Cécile Rodrigues (@Grisoudre)
Temperatura con respecto a la media máxima registrada en 2019 Day 25: Climate #30DayMapChallenge #lovepredictinglocations #BigData #México
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 28.
By Sam J (@samwise_v)
#30DayMapChallenge day 5, raster. Here are 6: raster principal components of snow cover duration anomaly for the Clutha Catchment, NZ. These show the most important spatial patterns from a 16 year time series of daily snow cover from MODIS. #remotesensing
By Todd Redpath (@toddrednz)
#30DayMapChallenge Day 15 - Places My hometown, San Carlos, Uruguay. Out of 151 streets, only 5 are named after a woman. | Solo 5 calles de la ciudad de San Carlos, Uruguay, llevan nombres de mujeres. Inspirado https://t.co/0ChtzVjUbX de @DATAuy. #rstats #datosdemiercoles
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge 15. Names- Taumatawhakatangi?hangakoauauotamatea?turipukakapikimaunga?horonukupokaiwhen?uakitanatahu: World's Longest Place Name - a hill in the northern island of New Zealand.
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge 22: Built environment: Impervious cover in #Philadelphia, using @opendataphilly layer, aggregated into hexbins. I calculated % of impervious, natural, and water in each hex & displayed each in its own layer, blended together in #QGIS for this effect (neat!)
By Philip Pierdomenico (@PhilPierdo)
Day 17 of the #30DayMapChallenge - #Zones A map showing #building #density zones in Sheffield Orange = High Density = Urban zones Blue = Low Density = Suburban zones In our #UKLand product, areas are classified by density of buildings within them.
By GeomniUK (@GeomniUK)
#30DayMapChallenge 1- Points Every single reef in the "Great Barrier Reef "is mapped using @Mapbox @tableaupublic @tableau @AdiBop_ did i get the concept of this challenge right?? viz: https://t.co/6cPjfRCJKF
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge Day 16: Places #FridaysForFurture as they called for action. The only manifestations worlwide ever. Since they started up to now. One held even in Antarctica.
By Eliška Vlčková (@vlckel)
I'm enjoying observing the #30DayMapChallenge and wanted to share/participate a bit. Here's days 10,11, and 12; black & white, elevation, and movement - and where I took an initial stab at learning R + rayshader. A few of the Nine Sisters, near my home https://t.co/zXwDe43lGx
By joe larson (@oeon)
#30DayMapChallenge round #2: Vancouver redistricted based on equal populations (2016). This is practice for a forthcoming analysis piece to support nhood boundary development for a project with @jfix and @DIALOG
By Aaron Licker (@LGeospatial)
#30DayMapChallenge elevation. NZ map using only Topo50 spot heights from @LINZLDS https://t.co/Y5fOo6JWsd
By Ian Harrison (@Kaihopu)
Airport structures for #30DayMapChallenge on built-environment theme 1/2
By Ramya Ragupathy (@ramya_ragupathy)
Day 10: black and white Today's map for our #30DayMapChallenge, is a map of accounts that engage with us on twitter Thanks for all the love!
By Tweepsmap (@tweepsmap)
#30DayMapChallenge Dia 24 : Estadísticas Mapa con la tasa de prevalencia delictiva por entidad federativa de acuerdo a la ENVIPE 2019. La más alta es CDMX con 42.6 mientras que las más baja es Veracruz con 16. #rstatsES #datosdemiercoles #rstats
By Gerardo Najera (@Gerard_Mauro)
Parking meter rates in Vancouver, BC. Average daytime rate: $2.50/hr (range: $0.5-$9/hr) Average evening rate: $2.00/hr (range: $0.5-$7/hr) With the exception of a few meters, weekday and weekend rates are the same. #Urban #30DayMapChallenge
By Kate Hosford (@kahosford)
Day 13 Tracks - Teaching #QGIS to masters students on #GISDay. Using @osni_maps track data in the practical. #30daymapchallenge.
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge Day 6 - Blue Municipal flags in the Netherlands with blue in them. Inspiration: https://t.co/unlDlUuQDa
By lhubrechsen (@lhubrechsen)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal #Day16 #30DayMapChallenge: Places. @Foursquare "Coffee Shop" check-ins in Bogota. Data from https://t.co/JCF6iJ7oWn
By DoctorJ (@garciaart3)
For today's #30DayMapChallenge (B&W) I updated a minimalist #map I made a few years ago: All road lines in #Delaware. I exported a high-res image (600dpi) too so I could zoom in and really see all the places I grew up in. Data from @uscensusbureau, made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Day 12 -Movement. I am returning to my home town for this one. I wondered what would be the shortest route to ride my bike on every road in Brixham. One Chinese postman later and we have this animation. Big thanks to @underdarkGIS for Time Manager in #QGIS
By Sweary Dave (@citizenfishy)
Saturación de comercio de Proximidad Day 6: Blue #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge day 5: raster. Digital surface model, digital terrain model, canopy height model, near infrared orthoimage. Location: Viskuzu Island in Usma Lake, Latvia. #lvmgeo team joins the challange!
By LVM GEO (@lvmgeo)
Day 5 raster #30dayMapChallenge Maybe pretty basic but I had to learn most of this😮 Found 1m DEM, hillshade at 9am 5 November, over satellite. I spent a whole day trying to merge the DEM files, with me or QGIS failing & errors & losing resolution & projection failures. Still fun
By Kylie Wilson (@_kyliejane)
Day 12 movement "Les lignes ferroviaires et leur vitesse maximum en France" #30DayMapChallenge Fait avec #qgis, données Admin Express et dérivées des données OpenData SNCF https://t.co/Kx2GvMAF4I cc @NicolasW_GRAOU #sncf #trains
By Thomas gratier (@ThomasG77)
Day 2 of #30DAyMapChallenge (I'm a bit behind) Lines: All the rivers (blue), dams (yellow) and catchment areas (green) in South Africa.
By Alastair Otter (@alastairotter)
#30DayMapChallenge Day 29: Experimental. My daughter has a few "extreme connect the dots" books and I thought I'd try to make one of my own. Grab a pencil and print it at A0. PDF here: https://t.co/ONWkZzZPg9
By Craig Williams (@williamscraigm)
Day 17 (zones): Climate zones in the Mediterranean according to the Köppen classification. Of course, the Mediterranean is dominated by Mediterranean climates (Csa+Csb), but semi arid (Bsk), desert (BWh+BWk) and humid continental (Dsb) climates are also common #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Libraries around the world 📚🌐. Late entry for Day 1: Points. - Data source: @openstreetmap ("amenity"="library") - Map done with #Python and @geopandas #30DayMapChallenge
By Anna, Kerook (@kerooksblog)
For day 19: Urban of #30DayMapChallenge — A map @cristinapoiata and I made earlier this year based on data from UNDESA showing size and growth of 1800+ urban areas with more than 300k inhabitants over a period of 70 years. #cartography #geography #dataviz
By Richard Zimerman (@RichardZimerman)
#30DayMapChallenge Day 17 #Zones Zonas arqueológicas de México #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge 13. Tracks: Disc Golf Tracks in Estonia sized based on number of baskets on the tracks.
By Evelyn (@evelynuuemaa)
#30daymapchallenge Day 04: hexagons Bus Stops in urban area Santiago, Chile (CEDEUS, 2015) Hexagons area: 50 ha
By Mauricio González (@magonza9)
#30DayMapChallenge Day 10: Black and White - #Newcastle buildings centered on #StJamesPark #osopen #opensource #football #NUFC #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
Day 3 of the #30DayMapChallenge is based on polygons - here’s Bremen’s parks sourced from #openstreetmap 🌳
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 16, buffering #OSM places in #QGIS - areas in white are more than 1km from a 'place' point, so I'm mapping place/not place here. Shows OSM coverage skew nicely I think, with bit of an East-West divide but Cavan/Monaghan has lit OSM community it seems 🤔
By Maedhbh Nic Lochlainn (@niclochg)
@fenwaypark Day eight of the #30DayMapChallenge (green)... Breaking down the #MLB draft by the state every player was born since 2000. You'll notice one consistent factor. * Note: some older players don't have birth places in our DB
By Daren Willman (@darenw)
#30DayMapChallenge #Map_02 #Lines #PlaDirectorModernització #Urgell #2005 Inventario red de acequias, drenajes alimentadores Post @iagua Plan de regadíos solo para técnicos. https://t.co/hiP6xCGat4
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 3: "Air temperature in Estonia" Topic: 'Polygons'
By Anto Aasa (@antoaasa)
#Veracruz Brecha de género en la tasa de ocupación del sector económico primario. Los municipios con mayor igualdad se identifican de color más oscuro, mientras que los municipios con menor igualdad se observan en color más claro. #30DayMapChallenge #TidyTuesday
By Marcela Dolores Guerra Osorno (@osornomarcela)
#30DayMapChallenge Day 17: Zones Zones of violence linked to narcotraffic (crime rates) and spatial segregation / Zonas de violencia vinculadas al narcotrafico (crímenes) y segregación. Datos obtenidos desde @FiscaliadeChile https://t.co/2s3QgetWZR
By Juanizio Correa Parra (@Juanizio_C)
Un mapa terriblemente doloroso #ViolenciaMachista 1028 víctimas mortales de violencia de género entre los años 2003 y 2019. https://t.co/oU88dkhkVi Día 24, reto 'statistics' #30DayMapChallenge Fuente: mapa del @IGNSpain y datos de @DelGobVG
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 15 - Names Names of #missings persons in the #US (first name) Noms des personnes disparues aux États-Unis (prénom) data from @Opendatasoft
By Gaëlle (@Gaelle_Sutton)
#30DayMapChallenge Day 4 Hexagons . No. de artesanos en Colombia por depto. Realizado en #R Seguí este tutorial https://t.co/dcR6Py7dpG librerías: geogrid y tmap. Fue lo mejor que pude lograr... Comparto código #rstatsEs #mapadeColombia #visualizaciondedatos
By Edwin Mendivil Barceló (@vizualdatos)
Dag 11 er høyde, og dette superenkle kartet viser landskapet rundt Boknafjorden kun ved bruk av høydekoter fra N50 #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge 26. Hydrology. Surface water in the south of England. The large bare areas seem to correspond to areas of Chalk. Data from OS Open Zoomstack, using #qgis.
By Steven Kay (@stevefaeembra)
#30DayMapChallenge 1. Points 24 hours of open AIS data in Rogaland, Norway.
By Tore Halset (@torehalset)
#30DayMapChallenge 3.Polygones Extension du domaine forestier entre 1990 et 2018 #CorineLandCover #dataviz #cartography Je suis assez surpris du résultat. @Grantime1
By Granié Alexandre (@Alex_geomatic)
El índice de envejecimiento nos dice el numero personas adultas mayores por cada 100 niños y jóvenes.En México es de 38. La CDMX es la entidad con el índice más alto con 71.7 mientras que Quintana Roo la más baja con 22.9. #rstats #30DayMapChallenge #rstatsES #datosdemiercoles
By Gerardo Najera (@Gerard_Mauro)
#30DayMapChallenge Jour3: polygons. Les 5 plus gros importateurs et les 5 plus gros exportateurs de citrouilles dans le monde, en 2018 #Halloween
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge 12/30 Movement. All the roads of the Netherlands lead to @GeoFort Made with @d3js_org - Canvas - @ProjectOSRM - Made by @BNiene
By cartiqo (@cartiqomaps)
On the train on our way back from vacation, a bit time to catch-up with #30DayMapChallenge ➡️ Day 26: Hydrology ♒️ Aimed for a colorful Basin map but couldn't find any good data so focussed more on design with a simple map of the #rivers of the #world. #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer)
Follow up from Day 3. Percentage of total commutes finishing in Dublin City and Suburbs by ED. And a second version that is normalized by the area of the ED, to show a better representation of the commuter density. #30DayMapChallenge #Day7 #Red @IrishCycle @nathcun
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge day 10 - To remember an era of black and white politics: a black and white city. Berlin Wall full extend | Extensión total del muro de Berlín Data: @Esri_de Opendata API 100% reproducible map 👉 https://t.co/G2jqshyw2H #rstats #rstatsES #datosdemiercoles
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge Day 9 - Yellow. Here we have the Chinese "Yellow" mountains, or Huangshan as they call them natively. I've exaggerated their height a bit and added a nice yellow tint. Hope this helps with the Saturday hangover ;-)
By Sweary Dave (@citizenfishy)
#30daymapchallenge day #13 (Tracks). Made with #rstats!
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge Map_12. Movement Mapa de % de població 2018 vs 1998. La falta d'aigua ha explicat la pèrdua del Sud del Segrià. Després d'aquest any 2019, el foc i l'excés d'aigua també fa perdre gent als pobles. @iagua. Algun dia haré un post territorios vaciados
By Ignasi Servià (@iservia)
#30DayMapChallenge Dia 15. Nombres (Names). Nube de palabras (con un mapa de México) de las palabras mas utilizadas en los nombres de los municipios de México. Hay 394 municipios con nombres de santos; 123 de santas; 70 llevan Juan en el nombre; 65 el Santiago y 51, Pedro.
By Juvenal (@JuvenalCamposF)
For this #30DayMapChallenge #⃣2⃣6⃣ I visualize the main #watersheds in North America. Made with #rstats
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge nr 12 "Movement" levert toch weer een actuele kaart op, als de plannen van vandaag doorgaan. Wat is je snelwegpanorama, binnenkort, op personenvervoer dat die 130km/u in die 1km-zone langs autosnelwegen meestal wel mag (en kan) halen?
By Bart Broex (@bbroex)
Day 18 of the #30DayMapChallenge : Globe…Places in the globe that can benefit from the #IMNOS Team. Couldn't do this without their platform flexibility.
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 1 - Points
By Gaëlle (@Gaelle_Sutton)
Density of traffic lights in Bogota (2019). #30DayMapChallenge #QGIS #Bogota Day 4: Hexagons (late)
By Felipe Lancheros 🐯 (@MiniTigri)
#30DayMapChallenge 29: Experimental The borders of #Maryland are, in many places, the result of losing just about every border dispute ever. Here are some of those losses and what the state might look like had it won them.. #Map made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
Day 9 - Yellow: Infrastructure in Brazil (roads, railways, ports and airports) #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge Day 7 #Red 🌋 Volcanoes in Mexico #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 7: Red The other side of the Energy poverty: thermal amplitude in Santiago / Amplitud térmica en Santiago Difference between the max and min annual T° (c) in the environment Data from Indice Bienestar Territorial de la UAI
By Juanizio Correa Parra (@Juanizio_C)
Día de rojo en el #30DayMapChallenge. Terremotos en Canarias en los últimos diez años. Fuentes: Siluetas de @GRAFCAN y terremotos del @IGNSpain.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 3: Polygons Mapped data on SNAP benefit redemptions at authorized small retailers (gas stations/corner stores/etc.). USDA only releases these data when there are >3 stores. Quite a range for counties that had data. Analysis in #rstats, map in #QGIS.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge 28: Funny Since it's #Thanksgiving in the US, I made this #map of places with favorite #food items in their names. Turkey, Corn, Pumpkin, and my personal favorite: Cranberry. Yummy!! Enjoy :) Data from @USGS @USGSTNM, made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
A bit late but Day 4: #Hexagons #30DayMapChallenge Least cost electricity options for built-up areas in Burkina Faso
By Juan Arevalo (@arevaju)
A weekend trip to #Pittsburgh has set me back a few days on the #30DayMapChallenge, but provided lots of inspiration. A striking feature of the place is that they have SO MANY BRIDGES. Here's eleven of them around downtown. Count this as Day 22 – "Built Environment".
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Dia 18 (Retrasado). Globo (Globe). Países del mundo coloreados en función de su consumo de alcohol en mayores de 15 años. Datos de https://t.co/qOKn0mkDcG. Enlace para que jueguen con la pelotita: https://t.co/qRdguS40nj #RStats #Shiny
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 12. Movement Hourly position of today's sun over Mount Oread, Lawrence, Kansas.
By Travis White (@visualvariable)
#30DayMapChallenge Day 10 ⚫️⚪️ A classic map showing the urban population of capital cities around the world based on 2019 data. Couldn't decide if classic bw or a bit of grey so here are two versions 🤷 ♂️ Data: https://t.co/td8iAU0okE #ggplot2 #tidyverse #rstats #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 14 - Boundaries the #USA - #Mexico border (San Diego - #Tijuana part)
By Gaëlle (@Gaelle_Sutton)
#30DayMapChallenge Day 19: Urban Ya don't get much more urban than this! Chongqing, China (World's Largest City). Also home of the world's largest road intersection (area and ht) #gis #geography #geographyteacher #cartography #maps #map #urbanenvironment #China #landsat #landsat8
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge Pulled some old data from Iceland to make this 'fantasy' map of locations from one of the most famous stories from the #Viking Age: Egils Saga. Read it here: https://t.co/fjOtaNTYTx and learn about the history of #Iceland here: https://t.co/pQhbrz9erw
By Carl Churchill (@Cchurchili)
I think I had a great idea for the #30DayMapChallenge today, but country codes cause more problems than you might think. I'll just leave this here. Fits today's theme.
By Topi Tjukanov (@tjukanov) in Finland
Day 10: Black and White Steve Abraham's attempt at the world record for the furthest cycled in a year https://t.co/jHXqZUD4xQ Workings & data: https://t.co/zTMbjnyeXA #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge #⃣1⃣9⃣ #dataviz of The past, present and future of urban areas. Made with #rstats
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge - Day 12: Movement - Found amazing dataset on animal tracking data on https://t.co/ONNONt7Au8, Visualized movement of 10 bald eagles observed in BC in last 12 months or so. #rstats Trying to figure out how to use leaflet package.
By Chisato (@chisatini)
Day 8: Green Gridmap showing proportion of London boroughs' land area devoted to accessible green space (parks, playing fields, allotments, cemeteries etc.). Based on @ordanceSurvey Open Greenspace dataset. Workings & data: https://t.co/VSBJ44z6rm #30DayMapChallenge
By Jo Wood (@jwoLondon)
Day 12: Movement Crash course on animation in #ArcGISPro for me today! Been meaning to do that for some time now, yet another benefit of participating in the #30DayMapChallenge !
By Allison Cully (@AllisonCully) in Canada
WGS84 version (*not their GCJ02) of #China China 乡镇 boundaries. I was told this cost $2.00 ... as #opendata #30DayMapChallenge #boundaries thanks for the headsup @oeon
By Justin Meyers (@MapMakinMeyers) in USA
Yellow. I used @mbostock's D3JS stuff to create the map, changed the world data, then "coded" a magic button to download pic as an svg, which wasn't really an svg, but had to be modified with a text editor, then it was an svg and I could edit it with @inkscape #30DayMapChallenge
By Faris Alsuhail (@AlsuhailFaris)
Day 19 of #30DayMapChallenge: Urban Our followers map by city https://t.co/CVYGadEdid
By Tweepsmap (@tweepsmap)
#30DayMapChallenge Day 26 FME is still trying to render the idea I had so let's save that for another day! Here's our canal network and the urban areas it links up
By Sweary Dave (@citizenfishy)
My submission for #30DayMapChallenge Day 4 - Hexagons Trash-related 311 calls in #Philadelphia. All @philly311 calls from @opendataphilly csv, filtered by service type & aggregated to hexbin (using #QGIS Create Grid tool) *Disclaimer - a few dozen of those calls were made by me
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge day 23: a 3D #population map of @GemeenteEdegem // #MadeWithQGIS
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge day 9 'yellow'@stadtongeren hoogtemodel in lego
By Vicky Verscheijden (@gis3700)
#30DayMapChallenge 2: līnijas. Paņem TV torņa LiDAR punktu mākoni un skaties, kas notiks.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge Day 2: lines. I have classified Edinburgh roads into 2 types: roads and roads with pubs (according to OSM).
By Zlata Popelnuh (@popelnuhh)
Day 15 Names - Half way point in the #30DayMapChallenge and I think that we've earned a pint. How about visiting one of the 10 most popular pub names in Great Britain? Data from @DataGovUK
By Brian Johnston (@Geo_BrianJ)
inspired by @theworksla Parks and Gardens in Los Angeles County 1. Points #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
#30DayMapChallenge Day 11 - elevation, our @ian_usher1985 used @OrdnanceSurvey #Terrain50 #Geopackage, & #Zoomstack. Terrain data clipped to Cairngorms National Park, Process to create vertices from lines, scatter grid created from those points based on height and shadows added
By Cadcorp (@cadcorp)
The Georgia/Auburn game is this weekend, which raises issues of divided loyalty. For #30DayMapChallenge day 14 (boundaries), here's the lines that divide up the Southeast by proximity to SEC schools. In Georgia, the boundary with Auburn runs from roughly Rome to Cordele.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge Day 11 - Elevation ⛰️ Thx to Day 5 and the #rayshader 📦 a quick hill shaded map of #Germany using a grid of 13 mio cells. A high-res version and codes can be found on my GitHub: https://t.co/iUQdTmMgGy #ggplot2 #tidyverse #rstats #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 5⃣ Raster: A @qgis map showing the city centre of Rome in the Global Human Settlement Layer (GHSL-BUILT, resolution: 30m), highlighting built-up areas. This is a great dataset created by the 🇪🇺 @EU_ScienceHub, find out more at https://t.co/JJ5alDr12r!
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 28. Funny Geographic locations are mentioned in numerous songs and we plotted some of the most iconic tracks on the map below. Do you recognize all of the songs? 😀 Interactive 👉🏻https://t.co/ykM0CYg6EI
By LocalFocus (@LocalFocusNL)
day 5, raster #30DayMapChallenge 11the century - Did the lord of the castle see the church? -viewshedding, gdal raster,... made with @qgis
By Vicky Verscheijden (@gis3700)
Places. Buildings are places! I've worked in all of these. LOD2 level 3D buldings, rendering with Blender/Cycles (sky texture didn't work in Eevee 😔). Data: @helsinki @Helsinki3D #30DayMapChallenge #b3d #blender #buildings #helsinki
By Faris Alsuhail (@AlsuhailFaris)
Ecoregions of the world. Data: https://t.co/nSwI2NZjvZ #30DayMapChallenge Day 21: environment. Created with #QGIS.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge - 7. Red - It’s a previous work, but I’m resharing it because it is where the Philippine police was killing people in Quezon City, where I used to live, from June 2016 to July 2017 in the name of a “war on drugs”. Full article here: https://t.co/5M5ZfJsKgh
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge day 4: Hexagons. Total number of road deer collisions in Scotland (2000 - 2017). Data is from SNH.
By Zlata Popelnuh (@popelnuhh)
#30DayMapChallenge 3. Polygons Buildings in London at risk of flooding (those that have within a 1 in 100 and 1 in 1,000 annual probability of flooding from rivers). Sources: OS OpenMap Local, Environment Agency Flood Zone 2.
By Helen Cooper (@HelenOfStow)
Whereabouts of VOI electric scooters in the Helsinki metropolitan area. Status: locked, and battery level >=80% (The red dot is Helsinki Central Station) Thanks to the FB group Finnish Open Data Ecosystem for this hint: https://t.co/LYVIH5etTb #30DayMapChallenge #ggplot #rstats
By Tuija Sonkkila (@ttso) in Finland
Antarctica without the snow. Put in a snowglobe #30DayMapChallenge Day 21: environment
By Sláinte Claus (@iamreddave)
Day 5 Raster : When the sea level rise up for 10m... data from @gebcobathymetry inspired by @tjukanov #30DayMapChallenge
By mits miyake (@mmits003)
#30DayMapChallenge day 30, "Home." Plotted my home state of PA using #rayshader + #rstats, with my hometown labeled. Combined SRTM elevation data with the USGS National Hydrography Dataset (using fasterize + raster + rgdal + sf) for water outlines. Code: https://t.co/8qiM8MzMv8
By Tyler Morgan-Wall (@tylermorganwall)
#30DayMapChallenge Day 18: Globe https://t.co/0ZmmUOOFUh One day I will do something cool using @CesiumJS
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Day 2⃣7⃣ Resources: Location of universities (main campus) 🎓 in Lombardy Region, Northern Italy. Data: - universities: @RegLombardia Open Data Portal https://t.co/olKnZr6tVu - provinces: @RegLombardia Geoportal https://t.co/PtYY0OY6Uu
By Marco Minghini (@MarcoMinghini) in Italy
My commute in Dublin simulated by walking, bike, car, bus and the LUAS (tram) #30DayMapChallenge #Day12 #Movement
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge Day 29: Experimental GIS is a lot of experimental analysis. Here we have experimental inside experimental! The Large Hadron Collider (CERN). #gis #geography #geographyteacher #cartography #maps #map #CERN #largehadroncollider #physics #Geneve
By MyPhysicalWorld (@my_physical)
Forgot to post this yesterday: #30DayMapChallenge Day 17: Zones - Natural Heritage Futures Zones #SNH #ScottishNaturalHeritage #nhfz #zones #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
Day 2 of #30DayMapChallenge Todays topic: lines. The streets are labeld by their streetname suffix. #Nijmegen Source: #Openstreetmap
By Leo (@hendrikxleo)
@col_en_datos @qgis @CitiBikeNYC @VotoBici #Day6 #30DayMapChallenge: Blue. Water bodies in Bogotá. The Andes border east & south of the city (lots of small streams), Bogotá River is the western limit. Not the most original idea, but hey, it's the middle of a working week :-D! Data source: https://t.co/LhawoTVTMo
By DoctorJ (@garciaart3)
Dublin’s O'Connell street, with the Spire visible. From NYU lidar, and rendered with @ephtracy's #Aerialod. The lidar needs a bit of polishing, but fascinating tool. #30DayMapChallenge #Day22 #BuiltEnvironment
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge 13/30 Tracks. All the railways in the Netherlands. Those yellowish circles show an area of 15 kilometers around each train station. Made with @qgis
By cartiqo (@cartiqomaps)
#30DayMapChallenge Day 01 - Points Répartition de la population en Corse
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge Day 30 - Home: A mappy encapsulation of home (or just "where I've lived") over the years.
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Day 26: Hydrology Tools:@ArcGISPro (vignette not stolen from @John_M_Nelson) Montana is home to America's last remaining glaciers. I wanted to make a map of Glacier NP but no time,so enjoy this elegant map of flowlines & pix of a glacier I swam in 2 years ago.
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 15: Names. Most common street name categories in Helsinki: person, mill, historic (ruins etc), municipality (metaname!), farming, Kalevala (epic), music, stars, Seven brothers (literary canon), boats. Code: https://t.co/gMbumlfaE7 #ggplot #sf @HRInfoshare
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge Dia 5. Rasters. Mapa de temperatura máxima promedio (en grados Celsius) para los estados de la frontera norte de #México. Herramienta: #rstats con datos del Atlas Climático Digital de México (Temperatura Máxima Promedio 1902-2011). #rstatses
By Juvenal (@JuvenalCamposF)
Districts in Germany if their names were just their first and last two characters: https://t.co/137PQk9Hci #30DayMapChallenge Day 15: Names. Thanks to @undertheraedar for the idea!
By cartocalypse (@cartocalypse)
#30DayMapChallenge Day 2 - Lines Train stations (in blue) in the Netherlands where you can travel to with an intercity train. Data and unedited map from https://t.co/xPAF4U5jYt
By lhubrechsen (@lhubrechsen)
#30DayMapChallenge Day 04 - Hexagons, what is the distribution of Leeds 108K Street light? Frequency of lights mapped per 1km Hexagon, in #QGIS, showing hot spots and gaps in coverage (thought @StevieBYorks would like this for #SmartCities)
By AndrewBoltonBPDTS (@ABpdts)
London station group stations and their service areas. Data from @thomasforth https://t.co/yOIRajuCdd #30DayMapChallenge #Day15 #Places Getting tight, and need a better color scheme...
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge 11: augstums. Man patīk skatīties vietas, kas atklājas reljefa modeļos. Piemēram, šie raķešu bāzes aplīši, kas attēlos slēpjas biezos kokos.
By Zane (@atdodkonfektes) in Zane Atstāja
Day 13 (tracks): Again one from my PhD thesis. This animation shows all the measurements I took during one field survey in a lowland stream in the Netherlands. #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day 7 - Red: Just a false color infrared image of Mount Desert Island, Maine! That's all I got today! 🙃
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Day 12: Movement 🐦 Today's challenge data comes from the awesome @MovebankTeam, an amazing resource for animal tracking data. This #dataviz is showing the movement of Manx shearwaters around the coast of Wales, Isle of Man and Ireland. #map #3d #animation
By Craig Taylor (@CraigTaylorGIS)
Am I doing this right? Day 1: points (street trees) #30DayMapChallenge
By Keith Jenkins (@kgjenkins)
My attempt to the #30DayMapChallenge visualization. It shows the density of airports around the world.
By Philippe Massicotte (@philmassicotte)
Day 12 of #30DayMapChallenge (Tracks): Rides by City Bikes of Tartu, Estonia during lunchtime in July 2019. There are 750 bikes in 69 bike share stations across the city. #citybike #rattaringlus
By Positium (@positium)
Este es nuestro aporte para el #30DayMapChallenge
By Data Lab Mx (@MxDatalab)
Water use on the driest continent with increasing population. #30DayMapChallenge Day 3. Polygons
By Andrew Fletcher (@EVB221)
It's the last weekend of #AmericaTransformed Part 1! The #lines on this #map from the exhibit, like the lines on most maps, are imaginary. The red network sprawling across the country = potential paths for a transcontinental railroad. #30DayMapChallenge https://t.co/1iKXy061AN
By Leventhal Map & Education Center at the BPL (@bplmaps)
Another quick one for Day 5 of #30DayMapChallenge (Raster) by @tjukanov idea - Make a tiles from the town of game "The Simpsons: Tapped Out" #gischat #geography #cartography #dataviz #gistips #gistipster
By PJ #GISTonicker (@pj_go_2020)
#WomenInGeospatial Day 1 of #30DayMapChallenge - Points!
By Dr. Erin LaBrecque (@ErinLaBrecq)
I haven't been able to keep up with the #30DayMapChallenge in the last days, and this doesn't follow the philosophy of the other posts, but here's my day 20. Rural. The village where I live, as shown in the Napoleonic Cadaster from 1812
By Víctor Olaya (@volayaf)
#30DayMapChallenge Day 1: Points - Fish and Chip shops around the British Isles 🐟 #opensource #OpenStreetMap #OverpassTurbo #QGIS #gischat #geography #cartography #dataviz #Firefly
By Kirsten Reilly (@_penguin_runner)
Mercados, Bancos, Hoteles, Gasolineras y Templos Alcaldía Cuauhtémoc, CDMX. Day 16:Places #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge 13. Tracks How many scenic routes can you bike along in the Netherlands? We don't know exactly, but it sure looks like a lot. We've plotted all routes made available by @Fietsplatform on a single map. Unfortunately, there was no open data available for Limburg
By LocalFocus (@LocalFocusNL)
There you go, just a quick try. #2019 #OpenStreetMap #Activity #30DayMapChallenge #Day29 https://t.co/BRmBPbCrC3
By Pascal Neis (@pascal_n)
Nov 4: Hexagons! - Seasonality of rental renewals by TLA How much seasonal variation there is in MBIE's rental bond lodgement data. #30DayMapChallenge
By Rustie (@rustie5555)
Más de 180 mil localidades rurales con menos de 2,500 habitantes en México. Day 20:Rural #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 5: raster Hurricane Catarina on March 26, 2004, at 17 UTC. 1st official Tropical Cyclone at South Atlantic. Category 2. Catarina's eye reached the Brazilian coast on March 28. Colors: brightness temperature from ~10.8 um (satellite GOES-12).
By Amanda (@SalvatiRehbein)
#30DayMapChallenge Touristic flows in the Island of Sardinia between ports&airports and main touristic locations. Made in #rstats wit #stplanr, #tmap and #sf Data source: @openras
By Andria Tzedda (@Andria_Tzedda)
Day 15 of the #30DayMapChallenge : Names…Ran a search for "Names" in #IMNOS and this what came back. Namestovo it is.
By Patrick Nelson (@pnelson917)
Day 8 of the #30DayMapChallenge : Going Green! @EUEnvironment country data on percentage of municipal waste recycled 2014…probably higher now. #IMNOS
By Patrick Nelson (@pnelson917)
#30daymapchallenge 10 - black & white Probably will move on from this technique now so cheerio with St petersburg. ⏩ https://t.co/bsE6rEOvzM
By A. D. Mac (@AdiBop_)
Day 23 of #30DayMapChallenge – Population: Tonight’s population of Trestle View Campsite
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 5: Rasters Auckland Central’s Elevated Environment – the difference between 1m Lidar-derived surface and elevation models. Trees, buildings & structures. Data: LINZ (https://t.co/peyVJ1d4sm)
By Hamish Campbell (@polemic)
#30DayMapChallenge Day 03 - Polygons Parc Naturel Régional de Corse
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge #Day10 Oleron Black&White #TestCartographique Inspiré par @Artisans_Cartos https://t.co/ePLMq1Ha3a
By Aurelien Chaumet (@AurelienChaumet) in France
#30DayMapChallenge Day 27: Resources. Busy attending another excellent @longitude_space event tonight so no time for a new map. Instead I have just done a colour version of my Day 10 submission looking at mines and quarries in #Snowdonia
By Sam J (@samwise_v)
#30DayMapChallenge #Map_16 #Places Plaza de Mayo BuenosAires 🇦🇷 8/2019 El post @iagua de hoy es para Argentina 2019, XXVII Congreso @aapresid https://t.co/EDydebB35H @intaargentina @altek1 @martinrainaudo @PatagoniaSuste1 @AquilesSali
By Ignasi Servià (@iservia)
Ķeksīša pēc, jo vairs nav vēlēšanās redzēt datoru #30DayMapChallenge
By emil (@57x025)
Day 15 of #30DayMapChallenge - names: Regions of New Zealand named by the name that is most similar to all other geographic names in the same region (excluding streams. there are so many streams!). Just a silly experiment 🙃 Code: https://t.co/GzyMxKEhxJ
By Aaron Schiff (@aschiff)
For this #30DayMapChallenge I show the main watershed zones in Canada which are themselves divided into sub-zones. Made with #rstats. #dataviz #geography #watershed
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge Day 29: Experimental An oldie but a goodie: A ~350,000 point #WebGL population density heatmap: https://t.co/JeHXej2byS
By Hugh Saalmans (@minus34)
#30DayMapChallenge Day2: lines. Learning how to (1) load features from OSM directly into #rstats with osmdata package, and (2) visualise data using mapdeck (https://t.co/iWW6SlDj1j for R). One of the results: ⬇️ all roads in Stockholm
By Nina Lindell (@ninatsuts)
#30DayMapChallenge Day 23: Total Population in Austria by 250m Statistical Grid #STATatlas @STATISTIK_AT https://t.co/N7Rloee5Gn
By g.katz (@knozi1)
Day 2 of the #30DayMapChallenge - #lines Flight lines over #Paris from 2018 #survey The spacing represents how the #project had to be broken up into individual sections to work around the restrictions on altitude to ensure a constant resolution.
By GeomniUK (@GeomniUK)
#30DayMapChallenge Day 24 - statistics. So this one is a bit of a cheat. A redesign of my Wurman dot map showing the density of pubs in London. https://t.co/gj43RmywBL
By gmapsmania (@gmapsmania)
@esa @ESA_EO Central America Urban Area Polygons #30DayMapChallenge https://t.co/6IVblhxU8t
By Justin Meyers (@MapMakinMeyers) in USA
#30DayMapChallenge Day 2⃣5⃣ Climate: Number of policies & measures implemented, adopted or planned in 2019 in EU Member States to reduce greenhouse gas emissions, reported under the EU Monitoring Mechanism Regulation. Source: @EUEnvironment (https://t.co/KnSma6fefh) Map: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 3 #Polygons Population density in Mexico City #QGIS + #Sketch
By Carmen Carro (@CarmenCarro_)
How would Norway look if all the buildings glowed in the dark? Based on 1000m raster of building mass from @kartverket #30DayMapChallenge Day 9: Yellow
By Jon Olav H. Eikenes (@jonolave)
#30DayMapChallenge Day 22: Built Environment - @thinkwhere1 Advanced QGIS training course module 3 looks at creating a 3d image of a part of Inverness #3d #opensource #openstreetmap #osopen #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge, Day 13: Tracks. Here's tornadoes for much of the last 70 years in the Southeast. Dixie Alley certainly stands out! Made with @qgis
By Jerry Shannon (@jerry_shannon)
Punkter som viser trærne langs Ring 2, der størrelse er basert på stammeradius #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge For todays theme (tracks) I did the vast trade network that made #Mali a empire in the middle ages. Did my best to label it based on the information I could find.
By Carl Churchill (@Cchurchili)
urban vs. elevation in São Paulo day 11 #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge Day 29: Experimental. Laser scanning data is intriguing. Thanks to free course material by @CSCfi on the #lidR #Rstats package for forestry applications I looked into a 500x500 m patch of Nuuksio NP. Data by @fgi_nls Notebook: https://t.co/2NUTUvy1Gx
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge Day 4: hexagons Bar, pub and restaurant density in Berlin from @openstreetmap
By Topi Tjukanov (@tjukanov) in Finland
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal @Foursquare #Day17 #30DayMapChallenge: Zones. A special one today, voronoi partition of Bogotá by the nearest staring point of tomorrow's protest marches. #21N #LaDignidadSeMueve
By DoctorJ (@garciaart3)
#30DayMapChallenge Day 09 - Yellow La Corse - le soleil des Français ☀️🌞
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge 20. Rural Just a map of agricultural France Made with #QGIS
By Romain Lx (@lacxrx)
#30daymapchallenge Day 08: green Green areas Santiago, Chile (MINVU, s/f)
By Mauricio González (@magonza9)
Today is ⬡ day in the #30DayMapChallenge! This map shows particular danger zones for biking in Boston by aggregating point locations of bike accidents into hexagonal clusters.
By Leventhal Map & Education Center at the BPL (@bplmaps)
Low inspiration for today’s #30DayMapChallenge theme, blue. But since Dutch street name signs are generally blue I mined some data and mapped the Dutch municipalities based on the number of streets with “blue” in the name. Breda, my birthplace, won! #map #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge Day 1⃣8⃣ Globe: A web map produced many years ago with @polimi colleagues: we exposed several historical maps as WMS & visualized them in @NASA_WorldWind virtual globe; the time slider shows maps according to their year. Full paper: https://t.co/itE3beydLt
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge - Day 2 >Lines ➡ Main roads in France with open dataset of @IGNFrance ROUTES 500 (https://t.co/TgeQ6enuZm) #MadewithQGIS
By Boris Mericskay (@BorisMericskay)
Day 4, #30DayMapChallenge, hexagons. This could become a rug or maybe bathroom floor tiling!?! Hexagons grid with #QGIS joined by location with my #openstreetmap paths from my journey to train stations, bus, school, shops and home.
By Sanna Jokela (@SannaJokela1)
2. Lines #30DayMapChallenge Different types of roads in Jalisco, Mexico. #Map #QGIS #Road #Mexico #Jalisco
By D. (@daniel_isita)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx 11. Elevation #30DayMapChallenge The highest place in Mexico: Citlatéptl (5610 m.a.s.l.) #Citlatepetl #PicodeOrizaba #MapPorn #Mexico #QGIS #mountains
By D. (@daniel_isita)
Day 8: Green Today's map in our #30DayMapChallenge, is the map of changes to our followers in 2019 Thank you #USA.... And for those #Nepal, we apologize if we said anything that upset you!
By Tweepsmap (@tweepsmap)
#30DayMapChallenge 14: robežas. Pavasarī, kūlas dedzināšanas karstumā, Latvijas/Krievijas robežu var redzēt ne tikai pēc atšķirībām lauku lielumā, bet arī dedzināšanas intensitātē. (lielie, brūnie laukumi ir nodeguši).
By Zane (@atdodkonfektes) in Zane Atstāja
Starting the #30DayMapChallenge. Don't have a ton of time today, but, for day one's challenge "points," I used my {ctar} package to get positions of all the trains in Chicago and plotted them according to color. #rstats #gis
By Will Bonnell (@_willdebras)
@INEGI_INFORMA @tjukanov 9. Yellow #30DayMapChallenge Inspired by the Taco Universe from @datavizero, this map shows the distribution of *Tortillerías* throughout Mexico. Data is from DENUE (@INEGI_INFORMA) #Tortillas #Yellow #Mexico #QGIS #MapPorn
By D. (@daniel_isita)
#30DayMapChallenge Day 29: Experimental Experimenting what different projections from the https://t.co/hbOHn9krAX package do to a simple map of Austria (without any adjustments)
By Flooh Perlot (@drawingdata)
Explotaciones ganaderas en Gran Canaria y Tenerife. Para el día rural del #30DayMapChallenge. Fuentes: Datos de @AGRI_Gobcan y mapa del @IGNSpain .
By Pedro Suárez (@pedro_com_es)
Funny. My previous maps have been dead-serious. Time to loosen up and do something funny, and by funny I mean stupid. Fortunately, this map won't translate to English. Suomalaisten suosikkimatkakohde eli Thaimaase. #30DayMapChallenge #thaimaase #suomi #matkailu #kieli #kotus
By Faris Alsuhail (@AlsuhailFaris)
Día14:Límites/Tsääwää'n El Territorio #mixe colinda en su mayor parte con comunidades #zapotecas.Al oriente existen ejidos creados en el s.XX para reubicar comunidades chinantecas y mazatecas desplazadas por la construcción de las presas Cerro de Oro y Temascal #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Day 10 - Black & White La Corse - Essai graphique 🔳⬛️🔲⬜️
By ArtisansCartographes (@Artisans_Cartos)
@INEGI_INFORMA @tjukanov 8. Green #30DayMapChallenge Different types of land and vegetation use near Guadalajara, Mexico. #Green #QGIS #Map #Guadalajara
By D. (@daniel_isita)
#30DayMapChallenge day 29 a comparison between investment in war and investment in research by contry since 1997 @ddiazescandon Source: Stockholm International Peace Research Institute (@SIPRIorg ) & @UNESCO
By Javier (@7Javier6)
@tjukanov #30DayMapChallenge Day 2. Lines @tjukanov This is a map showing Indian passenger trains that can be reserved. Blue dots are source stations 😬 cheating Interesting to visualize super connected corridors. Data source: https://t.co/XcdbMcDFzd 👍@IRCTCofficial @PiyushGoyal
By NMN (@nmnsgr)
#30DayMapChallenge A drilling map seemed perfect for todays challenge. Lines cross over a distance. Horizontal drilling cuts across land in search of oil, bringing wealth but also risk as pipes can leak into the land. Made in #ArcGISPro.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Jour 16 : places Places of live performances in US of #Nirvana, avec #khartis et #illustrator
By Marlène Dorgny (@MarleneDorgny)
Fancy a Pint? Register of renewed liquor licences: Publican’s Houses Dublin #30DayMapChallenge #Day10 #BlackAndWhite @publinie @DiageoIreland
By Heikki Vesanto (@HeikkiVesanto)
Day 27 of the #30DayMapChallenge - #Resources This map, of Greater London and its surrounding areas, marks out the locations of a resource that almost every UK citizen will need to call upon at some point in their lives...The Emergency Services.
By GeomniUK (@GeomniUK)
Optimal routes from all Finnish postal code areas to Helsinki by foot with @graphhopper and QGIS. Yes, I was too busy to produce anything new for #30DayMapChallenge day 12.
By Topi Tjukanov (@tjukanov) in Finland
Day 3 of the #30DayMapChallenge "polygons" #ldsi #gis #surveyors
By LDSI, Inc. (@LDSISurveying)
#30DayMapChallenge #MapVember #RebelMapVember not really keeping up - terrain/elevation. Mt Tywnam and parts of the main range. Rendered in @qgis #qgis2threeJS, notes added in MacOS preview. Coloured using NSW imagery and ...all the things!
By Adam Steer, doctor of all the things! (@adamdsteer)
#30DayMapChallenge Day 28: Funny São Paulo city, cabeça de cachorro #rstats #magick
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Dia 3: Polígons. Divisió Catalunya amb diagrames de Voronoi a partir de les pistes d'atletisme homologades. Relacionat, deixo també un mapa d'isòcrones del TFG. Day 3: Polygons. Voronoi diagram based on the running tracks in Catalonia. Made in #QGIS #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
Les actes de vente des biens fonciers #DGFIP ont fait l'objet d'une #DataViz et analyse #spatiotemporelle lors du #SIG2019 ! Retrouvez les pour le #30DayMapChallenge #day4 #hexagones #ArcGIS #ArcGISPro Vidéo bientôt dispo sur @YouTube @Esri_France
By Nkhili Asma (@NkhiliA)
#30DayMapChallenge becoming more challenging now we are at day 10. Today's them is black and white which can mean grayscale too right? #snowdonia made with #qgis and a bit of #b3d .
By Sam J (@samwise_v)
#30DayMapChallenge 8. Green What about frogs? 🐸🐸 Imports and habitat in France Made with #QGIS
By Romain Lx (@lacxrx)
@INEGI_INFORMA @tjukanov 7. Red #30DayMapChallenge This map shows Guadalajara with all its blocks and streets in red colors. #Guadalajara #Streets #Map #QGIS
By D. (@daniel_isita)
Kart nummer 2 er linjer. Her har jeg hentet ut alle buss, T-bane, tog og trikkelinjer fra Open Street Map for hele Oslo-området med unntak av Nesodden og noen "grønne" bussruter #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge Day 4. Raster 1 continuous dataset x 6 rainbow scheme variations = 6 inconsistent representations of precipitation across Kansas. Data from PRISM
By Travis White (@visualvariable)
A snapshot of trees in my neighborhood from @openstreetmap for #30DayMapChallenge. Thanks to the efforts of the community, some of them, especially in Bangalore, carry detailed botanical information 🌿 You can access the dataset of 19K tree nodes here: https://t.co/9ogK66PQYr
By Ramya Ragupathy (@ramya_ragupathy)
Just a simple one for day 20 of #30DayMapChallenge - rural: The parts of Auckland with some kind of rural zoning. Code: https://t.co/8TpA6WTRIO
By Aaron Schiff (@aschiff)
Did something special for todays #30DayMapChallenge. With #QGIS, #Photoshop and some stamps I had lying around I recreated a antique woodcut map of #Spain (and Portugal).
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 6. Blue Without dykes, dams and dunes, huge parts of the Netherlands would flood in case of (extremely) high water. On this 'blue' map, you'll find all of the flood defenses. Interactive version 👉🏻https://t.co/LZPOsjWCst
By LocalFocus (@LocalFocusNL)
Day 11: Elevation Is it a table or a map? Why it's both! Using FatFonts to show elevation and shadow values as a table of numbers. https://t.co/eX4g8wdwhX Workings & data: https://t.co/VLXWwfVcQd #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge day 7 - Red: Mean traffic intensity in the city of #Malaga #mobility #urban #dataviz @malaga @ctmam @CIEDES
By Randbee (@RandbeeCo)
Mexico’s Forests Day 8:Green #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
[EN] public transport quality categories / #accessibility by public transport #switzerland. https://t.co/IkCJsQJ9dy by @AREschweiz #30DayMapChallenge #builtenvironement #impact @openTdataCH
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge 3: poligoni. Poligons vārdā Poligons x8.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge with #rspatial 15/30. Names. Where are French cities with "mer" or "ocean" in their names? Along the sea of course!! Or not... Testing view of a globe...🌐 I have 1 week to get better. #rstats
By Sébastien Rochette (@StatnMap)
Day 16 of the #30DayMapChallenge, places. My movements at my workplace according to Google maps timeline. You know where to find me 😉
By Matti Kokkonen (@MattiJKokkonen)
#30DayMapChallenge Day 8: GREEN Spring rains in the Prairie mean lush grazing for cattle! Cottonwood Valley, Kansas Landsat 8 Bands 4,3,2. Lush new tallgrass growth compared with cropland on the valley floor. #gis #geographyteacher #geography #cartography #map #maps #landsat
By MyPhysicalWorld (@my_physical)
Had fun creating map 3 (polygons) of the #30DayMapChallenge Created in QGIS3 with data from Ordnance Survey and Office for National Statistics
By Ewan McLaughlin (@EwanMcLaughlin6)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 18. Globe #30DayMapChallenge The world represented through its ports and airports. Data from https://t.co/sGeX9LdU35 #Airports #Ports #QGIS #World
By D. (@daniel_isita)
Femicide Rate per 100,000 (Sep 2018 - Sep 2019) 😞 Day 7: Red #30DayMapChallenge #BigData #genderbasedviolence
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 16 - Places: So many ways to go with this, so how about... map of Vermont with places as "where people are," places as "how the Census defines them," and places as "in street names."
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge 🗺️ Day 1: Points Points show population density within a ~50-kilometer grid. Data source: SEDAC Tool: #rstats #rspatial
By Mirza Cengic (@mirzacengic)
#30DayMapChallenge 28. diena, smieklīgi. Ja Tu esi krustcelēs un nezini, kur doties, tad dodies "pa kreisi". Sabiedriskā transporta reģionālās nozīmes maršrutu (autobusu) pieturvietu datos tādas vietas ir 7755.
By Kristīne (@kriksine)
@Syracuse1848 @SyracuseU #30DayMapChallenge Day 14: Tracks Centro bus routes in Syracuse Data: https://t.co/1o4p65AjKS Code: https://t.co/6Ifx2n3Kz5
By Sam Edelstein (@samedelstein)
Day 4 of #30DayMapChallenge - Hexagons Lego map style in #Tableau. It is inspired by @AndriyYaremenko. Data: https://t.co/ri7Ako5dhy
By Kovács Ivett (@IvettAlexa)
Día 13 del #30DayMapChallenge con clave 'tracks' así que aporto mapa de la fascinante red de senderos de La Palma, de @CabLaPalma. Fuentes: senderos de @lapalmaopendata, silueta y relieve de la isla del @IGNSpain.
By Pedro Suárez (@pedro_com_es)
@tjukanov Skipped a day, but I’m working on #30DayMapChallenge day 4: hexagons. QGIS is currently rendering tree density in Europe and may take until tomorrow, so in the meantime, here’s airbnb listings in Vienna. data: https://t.co/P50epfOLSo
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge Day 16 - Zones The (not so tiny) total #eclipse zone (2017)
By Gaëlle (@Gaelle_Sutton)
#30daymapchallenge 25 - climate koppen-geiger climate classification showing another 3 different global projections in #tableau. #alteryx used for reprojections. #nomorewgs84 ▶️https://t.co/i0IyzOc4SN
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 1 🌍🌎🌏 Populated places in Antarctica using @qgis #gischat #geography #cartography #dataviz
By Diego Pajarito G. (@diegopajarito)
#30DayMapChallenge Day 6 : Blue - Accidents de la route impliquant des piéton·ne·s (y.c. en roller ou trottinette) et cyclistes constatés par la police dans la MEL #RStats #Lille #MEL #OpenData https://t.co/ZCFCl5vBfE
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge | Day 7: Red Cities in Europe above 1 million inhabitants (or daytime dwellers).
By FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰 (@filipebatsilv)
Por si aún estoy a tiempo, va mi primer aporte en el #30DayMapChallenge Riesgo de mortalidad por homicidio (ambos sexos) a nivel municipal, trienio 2014-2016 🧐
By Antonio Reyna S. (@GeografoSevilla)
Día 3: Polígonos La nación #mixe la conforman 19 municipios, más los territorios de varias comunidades en cinco municipios más. Parte del territorio de tres municipios está habitado por comunidades no #mixes. #30daymapchallenge #AyuujkKäjp
By Colmix (@Colmixe)
#30DayMapChallenge 20 - rural OSM land use layer filtered for rural types in #alteryx, viz in #tableau. **bonus paint spatter map of all land use types cos i thought it looked beaut. view - https://t.co/PRAaHv83vh
By A. D. Mac (@AdiBop_)
So I fell off the #30DayMapChallenge there - but back at it again (now minus an appendix 😅) with #Day6 Blue and #Day7 Red. Water bodies for blue and for my red map, an example of how red has historic and current 'weightiness' in colour psychology of (mis)mapping. Spot my errors?
By Maedhbh Nic Lochlainn (@niclochg)
@Tutuchan @OSM_FR @opendatasoft_fr @thinkR_fr #30DayMapChallenge with #rspatial 14/30. Boundaries. What if department boundaries were walls? From {raster} to {rayshader} 🌄, back to {raster}. Map with {tmap}. #rstats #rayshader #tmap
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge día funny. Un año en la vida de 15 elefantes africanos en el parque nacional Etosha de Namibia. Study Name: African elephants in Etosha National Park (data from Tsalyuk et al. 2018) Fuentes: @NASAEarthData y @MovebankTeam
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 24 - Statistics They say there are lies, damned lies and statistics. So how about some statistics about dams. 43% of countries don't have any dams and for those that do there is an average of 135926 people per dam
By Sweary Dave (@citizenfishy)
#30DayMapChallenge: #Statistics of the most recent @google #Streetview images in @Stad_Antwerpen, @GemeenteEdegem and @GemeenteKontich // #2019update data on https://t.co/YiyCiGxmms
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge 11. Elevation Ten years ago today, the South Downs' designation as a National Park was announced. Happy Birthday @sdnpa! Here's an elevation map made with @OrdnanceSurvey Open Data. SDNP boundary from @NaturalEngland.
By Helen Cooper (@HelenOfStow)
#30DayMapChallenge Day 22 built environment: #Onitsha with 8.5 million inhabitants is #Africa's 3rd largest urban area. A huge continuously built-up urban area of 2800km2 is emerging (London and greater London are 1 572 km2), driven by infill, sprawl and merging...
By SWAC OECD (@SWAC_OECD)
#30DayMapChallenge 10. Black and White 3D mapping of an old aerial picture of Gibraltar during World War 2. image source: https://t.co/4871uK2bTN
By Karim Douïeb (@karim_douieb)
Urban. Percentage of livable floor area of total floor area in downtown Helsinki. Darker color = bigger percentage, bigger circle = more total floor area. Data: @hsy_fi, @HelsinkiKymp #30DayMapChallenge #urban #living #asuminen #helsinki #rakennustietoruudukko #bubbles
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge 9 - yellow Inspiration at site called Junique (original creator "urban maps"). manually selected vertices then min bounding box in #qgis and clipped #OSM layer to that. styled in @tableaupublic , yellow base from @Mapbox check it - https://t.co/gQYiWuWxIo
By A. D. Mac (@AdiBop_)
#30DayMapChallenge 10. Black & White - ok sort of cheating with this one, not making a brand new daily map but going to use my monochrome Relief Map of Peru. Officially caught up, woohoo!
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge Day 19 urban and 20 rural together. Changed color to highlight the more rural place as red instead of the opposite most of the time :) Skipped day 18 globe (will catch up later)
By Thomas gratier (@ThomasG77)
3. Polygons Map showing the Sedimentary Basins of the Philippines. These sedimentary basins are potential source of petroleum and natural gas. There are 16 sedimentary basins discovered. #30DayMapChallenge #SedimentaryBasins #PH #Geology #gis #carthography #geography #dataviz
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
#30DayMapChallenge Day 2 "Lines". It's possible to sail in a straight line from the UK to NZ
By ⚫️ Kevin Pluck (@kevpluck)
For tdy's #30DayMapChallenge ("built environment") I looked at "walkability" for Maine & York county (neither of which is very walkable) w/#rstats {sf} {tigris} & @usdatagov's walkability index db. York's map is fairly big so folks can zoom in a bit. Code push later tdy.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge #Map_18 Globe @IPCC_CH Intergovernmental Panel on Climate Change #IPCC https://t.co/oYVETEYiSg
By Ignasi Servià (@iservia)
#30DayMapChallenge day 24, Mujeres desaparecidas en Colombia según el observatorio de violencia de medicina legal desde 2016 hasta abril de 2019 #NoViolenciaAlaMujer @ddiazescandon
By Javier (@7Javier6)
#30DayMapChallenge Day 8: Green The Tongariro Crossing and Emerald Lakes, the Emerald Lakes are actually some small ones but the lakes on Tongariro all have the vivid green colour. Made with #QGIS and inkscape and the beautiful topo data from my team at LINZ
By Pete King (@Generally_Geo)
Day 27 of #30DayMapChallenge – Resources. Here’s water uses in the contiguous U.S. Been making a lot of maps lately using outer glow for no reason...
By ಠ_ಠ (@DeniseDSLu)
Day 10 of #30DayMapChallenge - Black and White I know it is simple but this is my first experience in @qgis. Global Flights Connections
By Kovács Ivett (@IvettAlexa)
#30DayMapChallenge Day 22: Built Environment Dubai, transforming the Desert: From Oil to Tourism! No other place on earth has a more unique transformation. #gis #geography #geographyteacher #cartography #maps #map #landsat #landsat8 #Dubai #desert #environment #myphysicalworld
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge 3. Polygons Creating a colored polygon of #Germany is a potentially tricky thing because 2 regions: #Berlin and #Bremen are located inside other regions. gghole function is a solution for me #dataviz #data #maps #ggplot #rstats #urban #rural #Deutschland
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 2 Lines (I'm behind already). This is the topography of the Driftless, Kickapoo River Valley, WI. Might be more exciting if I figured out how to exaggerate y-values. Thanks to @imhere_asia for the instructions.
By Innisfree (@Innisfree)
#30DayMapChallenge Day 23 Population. Mexican localities with Indigenous population (whole Country). Data Source: INEGI and CDI, 2010-2015.
By jlOlarteQ (@jlOlarteQ)
#30DayMapChallenge Day 05 - Raster Photo satellite de la #Corse Données @LivingAtlas
By ArtisansCartographes (@Artisans_Cartos)
For the rural theme for today's #30DayMapChallenge, I developed a #shiny application for #rstats using dollar store data. Pretty much every small town in Iowa has had a Dollar General for over a decade, but Family Dollar is a new addition. Try the app at: https://t.co/8aPPaxmtzm
By Jerry Shannon (@jerry_shannon)
Black & White for Day 10 #30DayMapChallenge How far you get by car in 10, 20 and 30 minutes
By carolina passos (@carolpos)
Day 25: Climate #30DayMapChallenge Köppen-Geiger Climate Classification in Google Earth. Data: https://t.co/ZBmqqg1KmX
By Leo (@hendrikxleo)
#30DayMapChallenge day 26: sometimes @googlemaps is so wrong. Comparing map #resources. #toomanybuildings
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 2: Lines - Devils Tower Tools: @ArcGISPro
By Christopher Pollard (@CRVanPollard)
Today’s #30DayMapChallenge theme is “red”. Here’s a map of all the (successful…) landers and rovers that have been active on Mars. I used a Viking mosaic with added MOLA shaded relief in the EqualEarth projection by @MtnMapper and @BojanSavric #lovemaps #cartography #map #mars
By One Stop Map (@onestopmap)
#30DayMapChallenge Day11 - elevation Shaded bathymetry of a planned reservoir. Derived from topographical map
By Marcin Szwagrzyk (@SzwagrzykMarcin)
#30DayMapChallenge day 15: names
By David Ng'ang'a (@DavidNg96191301)
#30DayMapChallenge Day 28. Funny A day late but worth a chuckle: at 4039 ft, Mount Sunflower is the highest "peak" in Kansas. As this pic by Bill Johnson shows, it may be the easiest ascent for climbers in the country. Read more at https://t.co/FPgLSaFAud
By Travis White (@visualvariable)
#30DayMapChallenge Day 6: Blue Electric Blue – transmission lines supported by pylons. Data: LINZ (https://t.co/peyVJ0VtAO)
By Hamish Campbell (@polemic)
Day 19 of #30DayMapChallenge is urban, so here is a map of "urban" areas in the world defined by population density (from CIESIN), built with #qgis.
By Ian Turton (@ijturton)
Rivers of LA 6. Blue #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
Mexicto City Green View Index #CDMX #30DayMapChallenge 1. Puntos #python #QGIS
By Emmanuel (@Landa23)
#30DayMapChallenge Map_27 #Resources Mapa de Suelos. #Urgell. 2005 Solo un 20% dels sòls, tienen una CRAD (Capacidad de retencion de agua) para tener intervalos de riego >12 días. El post @iAgua 2015 Año internacional de los suelos. https://t.co/AvIhrO6hnV
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 11 : Elevation - Nombre de SCOP par département en France métropolitaine en 2019 #QGis
By Cécile Rodrigues (@Grisoudre)
A little late but here is day 1: Points from @JohnCappelen @MikaelScharling Technical@dmidk report on weather stations in #Greenland #30DayMapChallenge https://t.co/OoPsx09Rq6
By Ruth Mottram (@ruth_mottram)
@IYIL2019 Día 18: El mundo/ #Uj ¿Cuál es el país más lejano al que ha viajado una persona #mixe? Además de las migraciones en búsqueda de empleo, muchos mixes han viajado a otros países por otros motivos: estudios, trabajo o como músicos en alguna presentación artística. #30daymapchallenge
By Colmix (@Colmixe)
Día 10: Blanco y negro / Poop jïts yëjk Reelaboración de un mapa del siglo XX sobre el comercio del café en la región mixe. Hacia los años 30 del s. XX el cultivo de café se extendió por la región #mixe favorecido por el aumento en la demanda de este producto #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Day 8⃣Green: Map of green areas in Como municipality 🇮🇹 🌳forests, parks, gardens & grass areas from @openstreetmap 🏦buildings & highways from @openstreetmap 〰️Como boundary from Lombardy Region Geoportal 🖥️ map made with @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 23: Population In-place inhabitants share relating to population, Rhône and Loire departments
By Alice Caron (@Alice_Caron_)
#30DayMapChallenge Day 29. Experimental It's game time, fellow geo-geeks! 😄🗺 How many random facts about countries do you know? Click Madagascar to see the first question. Which country is the final one? Let us know! Play 👉🏻https://t.co/Flruffe9Ye
By LocalFocus (@LocalFocusNL)
Day 28 - Happy: this map is showing the % of people that identify as having "Very High" levels of happiness in each London borough between 2011 and 2016 (and it's pink! 💗) explore the map here: https://t.co/K8RCATKKaA #datavisualisation #happiness #30DayMapChallenge
By Emu Analytics (@emu_info)
Areas that are at high risk for mine shaft collapse from old coal mines. #30DayMapChallenge #Day27 #Resources
By Heikki Vesanto (@HeikkiVesanto)
Satellite view of clouds across the skies of Mexico Day 5: Raster #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge 4- hexagons. For me is one of the most tricky challenge because i had a lack of inspiration. Btw, here as always the island of Sardinia hex tasselated, every hex contains average pop. Madein #rstats with sf::st_make_grid() and visualized with tmap library
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 8: Green. Trees in the Urban tree database of the City of Helsinki that stand inside valuable public environments https://t.co/GRc7BorGx7 Data via @HRInfoshare Code: https://t.co/WGNXCDNG9p More at: https://t.co/X96Ya3Edrq #RStats #Shiny #leaflet #mapview
By Tuija Sonkkila (@ttso) in Finland
Day 12 of #30DayMapChallenge: movement. Tropical cyclone paths in the South Pacific. Data from IBTrACS https://t.co/7zFUwQe2LS #Rstats Code: https://t.co/BW0VCv7PnM
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Day 13: How to make an interactive #Map with #leaflet #rstats. Data from @OrdnanceIreland @GovDataIE (Roads - OSi National 250k Map of Ireland). Code: https://t.co/y6OcXWFQGW #30DayMapChallenge
By Javier Elío (@Elio_Javi)
Para el día 15 del #30DayMapChallenge tenía clara la tarea: conseguir un algoritmo para distribuir textos sobre el mapa. Las fotos son del antes y el después de los 8652 nombres geográficos de #GranCanaria. Fuente: mapa y nomenclátor geográfico del @IGNSpain.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 30: Home - Longleat Hedge Maze October 2001, I proposed to my wife in the world’s largest hedge maze in Warminster England. No better tribute than to make a map for her. She's been supporting me during these past 30 days of constant map making #mapwidow
By Christopher Pollard (@CRVanPollard)
Day 3 of #30DayMapChallenge – Hexagons: Settlers of Aotearoa
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 7: Red Red Deer Live Here – red deer pest distribution in NZ. Data CC-BY MfE (https://t.co/uTCQQO206M) and LINZ.
By Hamish Campbell (@polemic)
#30DayMapChallenge Jour14: boundaries. Les 10 plus longues frontières terrestres. Proposition graphique et pop sous #Illustrator
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge Day 3: Lines (still catching up) Tornadoes in the US 1950-2018 #gis #maps #map #geography #geographyteacher
By MyPhysicalWorld (@my_physical)
The places mentioned in today's NYTime's World Section - Top Stories via NYTimes API. If I ever survive #30DayMapChallenge, I'll script this one away. Catchup on Day 16: Places
By Ariel Kadouri (@akadouri)
#30DayMapChallenge day 9: yellow. Suomen hietikot / Sands in Finland. Data: @Maanmittaus #OGCAPI beta: https://t.co/5ukCMj8JFh
By Teemu Saloriutta (@TeemuSaloriutta)
#30DayMapChallenge Day 22 - Built Environment: Downtown Chicago buildings by year built. Footprints from City of Chicago, wavy lines for Lake Michigan courtesy of https://t.co/UeCAPzN5Tq
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge - Day 21 - Environment - Mapping peatbog environments in Ireland and UK using Corine land cover data. Kept thinking of that Simon and Garfunkel song but as 'Looking for fun and feeling boggy, Ba da-da da-da da-da, feeling boggy' 🎶😅
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge day 22: some rooftops in @GemeenteKontich - an image created by cropping an orthophoto with a building layer. // Data from @info_vlaanderen // #builtenvironment
By Michel Stuyts 🌍 (@michelstuyts)
Trying the #30DayMapChallenge! In addition to each day’s theme, I’ll try and center mine around FOOD as well. Day 1’s theme is Points. Here’s all the 600+ Dunkins in NYC. Dyk it’s the chain w the most locations in the city!!!
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 12 - Movement Beef cattle freight movements in 2019 I only did some minor data wrangling for this one, delegating the actual mapping to #flowmapblue Full interactive webmap at https://t.co/AAPaoGzb1i
By Timmy (@gallicist)
I was on a short wellness vacation so here is Day6 to Day 9 of the #30DayMapChallenge with the same style - public transport and its stops in #Berlin 🚏🚌🚉 #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer)
A quick throwaway for day 28 of #30DayMapChallenge topic:Funny Comedy vs Tragedy - the number of "Entertainer or Variety Artists" minus the number of "Prison Officers", by region (2013 census). Code: https://t.co/aojbV908Xs By this very sciency metric BoP is funniest with +15
By David Hood (@Thoughtfulnz) in New Zealand
Jour 20 du #30DayMapChallenge, où il est question de « rural ». Allons donc voir vite fait avec qGis du côté d'un des pays les plus denses du monde – les Pays-Bas avec 411 hab./km² – où est la campagne (en 🟩).
By Pierre Breteau (@pierrebrt)
Department stores in Mexico. #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge 13. Tracks🐦 It took a while to save animated frames in R::moveVis. I haven't figured all aesthetics of the the map yet, but happy it actually moves P.S. don't complain that your travels are crazy🤣 data: MoveBankDataRepository #dataviz #maps #ggplot #rstats
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 6. Blue Don't use single color palettes for qualitative information. Color values (lightness) can be ordered, and that might give the impression that some categories are better or have more importance than others. Use color hue instead.
By Víctor Olaya (@volayaf)
I went with the "spirit" of Day 15 — "Names" — (I'm a day behind) of #30DayMapChallenge & used the @SocialSecurity database of popular names by state & year to make a Maine silhouette wordcloud of the sum of the names for all those years. Data prep in #rstats.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Día 24. Estadística. Estamos generando estadística sobre superficies con agricultura protegida (invernaderos) y sus características en Jalisco. Este es un ejemplo donde se analiza un año, en el municipio de Jocotepec.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge 2/30 Lines. A map made from watercourses. By @stvno #kantelkaart
By cartiqo (@cartiqomaps)
#30DayMapChallenge Day 8 - Green: 2010 tree cover for Cambodia, data from the amazing Global Land Analysis and Discovery lab at UMD. (https://t.co/fq696JT2wt)
By Tim St. Onge (@TimStOnge)
Day 28 of #30DayMapChallenge – Funny: Kowhai Park Senic Reserve [sic], next door to Literacy Waitākere
By Andrew Tyrrell (@SouthArrowMaps)
Day 18 of the #30DayMapChallenge (globe): Data on the balance of payments of Estonia from the Bank of Estonia in 2016, where each moving point represents 10 million EUR. #balanceofpayments #globe
By Positium (@positium)
#30DayMapChallenge Day 23 #Population Población por municipio, México 2010 #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge day 11: Elevation Mount Kenya.
By David Ng'ang'a (@DavidNg96191301)
#30DayMapChallenge Day 15-Names Only 142 out of a total of 5678 streets in Montevideo are named after a woman. | Solo 142 de las 5.678 calles de Montevideo llevan nombres de mujer. Fuente: https://t.co/0ChtzVjUbX - Trabajo de @DATAuy
By Daniela de los Santos (@danidlsa)
Day 6 of the #30DayMapChallenge - #blue The surface water network and lakes around #Birmingham displayed on #OpenStreetMap background. #map #mapping
By GeomniUK (@GeomniUK)
Day 30: Home Truly where my heart is ♥️ First time ever making a hand drawn map. Day 1 was my very first tweet and first time publicly sharing my work. #30DayMapChallenge had been really good for me! Thanks to @tjukanov
By Allison Cully (@AllisonCully) in Canada
Day 21 of #30DayMapChallenge – Environment. Here’s a Pennsylvania soil map (tangentially food-related because it could be used for farming??)
By ಠ_ಠ (@DeniseDSLu)
#30daymapchallenge Day 10: Black and white. Roads in #Ostrava. Accindetally in the shape of the hearth.
By Eliška Vlčková (@vlckel)
#30DayMapChallenge I decided to try out 3D mapping, and what better country to showcase 3D than the rugged #Lesotho. I've sent a draft to the amazing Lesothan mapper @Tshedy4 so dont be surprised if I post a (heavily) revised version sometime later.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 28. Fun. All my maps have been fun, so no I made something serious. Most recent Big foot sightings reported to https://t.co/d6MnmFA88O. Sights reported between 08-11/2019, covering sights of 1985-2019. Sorry about the screenscraping. County data by US GOV.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 2 #Lines Public transportation in Mexico City #QGIS + #Sketch
By Carmen Carro (@CarmenCarro_)
Day 13 of the #30DayMapChallenge w the theme Tracks. I had fun with the cats yesterday, so here are the most & least social cats in NZ. Cats are pretty anti-social - none crossed paths w more than 3 other cats - but Monty II did have some friends. There are also a lot of loners!
By Emma Vitz (@EmmaVitz) in New Zealand
Day 4: Hexagons. Where are the largest concentrations of soccer pitches in Portland? #30DayMapChallenge @tableau + @Mapbox Geographic Extension https://t.co/9qV2OzpvXs
By Rafa Gutierrez (@geografa)
#30DayMapChallenge Day 18 - Globe: It's time for "Better Know a Projection!" Here's the Craster Parabolic Projection with some fun factoids to impress your friends! (Source: Blue Marble Geographics)
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge #qgis #Bogota (late day 2) (Lines). Bogotá's 4 skylines, Monserrate (North) and Guadalupe (south) mountains in the east city border. Contour levels (2500m - 3200m) and roads.
By Felipe Lancheros 🐯 (@MiniTigri)
World Stereographic. EPSG:54026 #30DayMapChallenge Day 18: Globe Data: Natural Earth Data v.4 #QGIS
By gontsa (@gontsa)
#30DayMapChallenge Day 8 (green): Just another 3D population map of Estonia.
By Anto Aasa (@antoaasa)
Day 10: Black and White "#Kupang City: City of Love" dedicated to @antengind - Data sources: Buildings and road network by #OpenStreetMap contributors; City administrative boundary from @bps_statistics - Processed using: #esri ArcGIS Desktop 10.6 #30DayMapChallenge
By Rifqi Oktavianto (@rifqi_oktav)
Day 6: Blue Rivers of Wales based on the @OrdnanceSurvey OpenRivers dataset. Workings & data: https://t.co/uUuRpOfoHx #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Day 11. Elevation Flint Hills ecoregion. 2m contours + aspect + dem. Easily the most gorgeous part of Kansas.
By Travis White (@visualvariable)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb @Datawrapper #30DayMapChallenge nr 27 (resources): Some Crops of Europe (just some code I had lying around, no idea of accuracy, actually) Original: https://t.co/5zSX1cSodD
By Maarten Lambrechts (@maartenzam)
As sea surface temperature changes, purse seiners can target other species that are easier to catch. This map shows habitat of species in our study that can be caught using purse seines. They make up about 10% of all fish caught in the Pacific Ocean. 🐠#30DayMapChallenge
By UMD FIRE (@umdfire)
Day 26 of #30DayMapChallenge: hydrology Rivers of Horomaka, New Zealand #Rstats. Code: https://t.co/LhMh0prdlz
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Last day of #30DayMapChallenge: Home. A gallery of different providerTiles of #leaflet on my hometown | Diferentes providerTiles aplicados sobre mi ciudad natal. #rstats #rstatsES #datosdemiercoles
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge Día 7. Rojo El mapa no es mío pero lo comparto porque está bonito
By Alfredo M (@AlfieMar93)
@INEGI_INFORMA @tjukanov @datavizero 10. Black and White #30DayMapChallenge Percentage of women by municipality in 2019. Data from @CONAPO_mx #Women #Mexico #QGIS #MapPorn
By D. (@daniel_isita)
Day 9: Black and white #30DayMapChallenge Val di Fassa Data: https://t.co/4ufHtjTJiW EU-DEM
By Leo (@hendrikxleo)
#30DayMapChallenge Day 7, Red. American Labor Press Directory, 1940. Data roughly geocoded from @TobiasHigbie's https://t.co/64n6iTWLKW
By Ariel Kadouri (@akadouri)
#30DayMapChallenge 4. Hexagons Short on time, so it's a lazy one: Archaeological sites in China during the Neolithic Data source: https://t.co/nIW66s5coH
By Joseph Lewis (@josephlewis1992)
#30DayMapChallenge 5. Raster: Global estimated risk index for multiple hazards in Asia and Pacific. Brighter means higher estimated values. Data from @UNEP. Made with @qgis #mapmaker
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge day 8-Green. Sardinian woods by forest density. Source @openras. Made in #rstats with ggplot2 + sf
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 12: Movement. Legacy Endomondo Sports tracker data on a 10 m elevation map of Saariselkä, Inari by @fgi_nls Cross-country skiing it was. The snow depth back then, in Dec 2014, was almost the same as now, ~40 cm. Code: https://t.co/m7una9jUaX #rstats #sf
By Tuija Sonkkila (@ttso) in Finland
Day 9 of the #30DayMapChallenge (a day late...) with the theme Yellow. I looked at the number of dairy cattle over time in NZ and was surprised to find that this has grown by 500% in some regions since 1994 🤯🐮
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 26: Hydrology Underground constructed water road, hydroelectric development in the french Alps
By Alice Caron (@Alice_Caron_)
Day 3 of #30DayMapChallenge Mapping land value in São Paulo, more red=more expensive
By carolina passos (@carolpos)
#30DayMapChallenge Indian subcontinent elevation. Data: SRTM Natural Earth Raster Tool: #QGIS
By indiaviz (@indiaviz)
Home. Home is mold in Finnish. I looked up everything related to indoor air quality issues from Helsinki decision API and mapped it. Some inconsistencies with the API's own map interface, though 🤨 Data: @helsinki @HelsinkiKymp #30DayMapChallenge #home #sisäilma #päätökset
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge Day 17 Zones My first map with QGIS (and my first several QGIS crashes). Got about 25% done before giving up and doing another 25% in Inkscape. The final 50% of polish is left as an exercise for the reader.
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge 5-raster. Year 2149 the former island of Sardinia is now known as 'Sarrakis' cc @DankDuneMemes @OpendataCorsica @openras
By Andria Tzedda (@Andria_Tzedda)
Hexagons like crazy 🙀 Now I'm a cool spatial data analyst, too. Here's a land use map of Helsinki, based on Corine Land Cover 2018 (class 2, majority in each hexagon). Data by: @SYKEinfo #30DayMapChallenge #helsinki #landuse #maankäyttö #alueet #kaavoitus
By Faris Alsuhail (@AlsuhailFaris)
Letting my state flow on its own for today's #30DayMapChallenge "Hydrology" #rstats {tigris} {sf} {ggplot2} Code: https://t.co/NJF4xfPPxW + all the social coding sites
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge hexagons. This is a plot of the bitcoin full nodes in the EU. Hexagonal heatmaps + extrusion from #deckgl. Data from @port8333
By indiaviz (@indiaviz)
Day 29: Experimental Bear with me while I describe some experiments in sketchy design in Vega-Lite that arose from a coding error I made a few years ago when trying to create a smooth contouring algorithm. Workings & data: https://t.co/ljnBOj7kGK #30DayMapChallenge [1 / 8]
By Jo Wood (@jwoLondon)
#30DayMapChallenge Day 9: "Yellow river, yellow river is in my mind and in my eyes Yellow river, yellow river is in my blood, it's the place I love"
By Anto Aasa (@antoaasa)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal #Day15 #30DayMapChallenge: Names. South American countries and regions with the etymology of their names. Many, especially names from Indigenous Languages, are uncertain.
By DoctorJ (@garciaart3)
Algo tarde para iniciar el #30DayMapChallenge pero aquí voy con un #smallmultiple en #R Día 1-Puntos: "Estaciones Hidrometeorológicas en Colombia" @IDEAMColombia #rstats #rStatsEs #DatosDeMiércoles #visualizaciondedatos
By Edwin Mendivil Barceló (@vizualdatos)
Day 3 (polygons): These maps show the typical greening up in a mountainous Mediterranean catchment, often the result of agricultural land abandonment #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge -4.-Hexagons-AuthoritativeAddressData under free+share-alike licence,2019, data at:https://t.co/Ra5LLZPSDY joined contrib @EU_Eurostat E4 Team 27 days2go - GISCO - software: postgres
By hannes reuter (@hireuter)
Checking out a style by @John_M_Nelson for today’s #30DayMapChallenge map of solar radiation across Ireland ☀️
By Antonia Blankenberg (@blanky343)
Day 14: Boundaries We tend to think of roads as enablers of movement, but all too often they act as barriers, creating boundaries between people. Exploring cartography of islands created by major road boundaries. Workings & data: https://t.co/q9ciEoYPxh #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge 11/30 Elevation. The Dutch Mountains. Made by @BNiene - Made with @qgis
By cartiqo (@cartiqomaps)
#30DayMapChallenge 18. Globe - Antarctica 🇦🇶
By Shannon Gonzales (@yavannie24)
Playing catch up with #30DayMapChallenge again, due to a combination of poor hotel wifi and a cold. So for day 12 - Movement, here is a map of % non citizen population. No real surprises except for how high Luxemburg is (but I don't think I've ever met anyone born there). #qgis
By Ian Turton (@ijturton)
#30DayMapChallenge Dia 27. Recursos (Resources). El agua es un recurso vital para la ciudad, y el subsuelo es fuente de más de la mitad de este recurso para la #CDMX. En este mapa vemos como esta ciudad y su Zona Metropolitana ya se están acabando los acuíferos circundantes.
By Juvenal (@JuvenalCamposF)
@tjukanov And here is #30DayMapChallenge day 9: Yellow Only yellow(ish) metro lines in various cities. Not a popular choice for evident reasons of visibility. Data: OSM, Wikipedia Tools: QGIS, Excel, Adobe Illustrator
By Martin 🚡 (@MartinBangratz)
Anemia prevalence in Guatemala #30DayMapChallenge, Day 11 - Kriging interpolation. Tools: R (sp, gstat, leaflet) Data: Guatemala DHS
By Esteban Correa (@maurosc3ner)
Somewhere around my parents' place Rendered with #Aerialod Data: @RegioneER #30DayMapChallenge - Elevation
By Jacopo Fochi (@jacopofochi)
@f_l_o_u_r_i_s_h @Stad_Antwerpen #30DayMapChallenge nr 10 (black and white): I used @hnshck's great Figuregrounder to make these building maps https://t.co/mCk5RgLjp3 So simple, so nice
By Maarten Lambrechts (@maartenzam)
Áreas naturales protegidas Mexico Day 21: Environment #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 24: Statistics Another shape of the inequity and social violence: Percentage of women who are considered like Ninis (“ni estudian ni trabajan” in spanish) these who "neither study nor work.” Dato from @INE_Chile and @f_vivienda
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge 14 - Boundaries - Vancouver is made up of smaller neighbourhoods, thought makes up good jigsaw puzzle pieces... Was trying to figure out how to use #gganimate to animate, but couldn't figure out so will have to come back later #rstats
By Chisato (@chisatini)
@Syracuse1848 #30DayMapChallenge Day 5: Raster Spectral Maps of the Finger Lakes (note: I've never done much with raster maps, but this was fun!) Data: https://t.co/Tk7v2N9CdL Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
@OpenAerialMap @openstreetmap @facebook #opendata #30DayMapChallenge #Tanzania
By Justin Meyers (@MapMakinMeyers) in USA
Day 13 of #30DayMapChallenge – Tracks. Here’s the flight path of a Himalaya vulture, presumably while looking for food...
By ಠ_ಠ (@DeniseDSLu)
Still a day behind… day 3 of the #30DayMapChallenge – Polygons: West coast salmon habitats
By ಠ_ಠ (@DeniseDSLu)
I'm finally catching the #30DayMapChallenge up in day 5 with raster-based real estate value map of İstanbul/Turkey. It shows nominal values of the lands by 10m pixels in the scale of percentage. Created with @qgis proximity, visibility, and terrain analyzes. @tjukanov @QGISMaps
By Muhammed Oğuzhan Mete (@ouzmetee)
#30DayMapChallenge day 18: globe. Global #lightning climatology, average "flashes" per km2 per year (1998-2015), detected by satellites. Data from @NASA Global Hydrology Resource Center #spatial #remotesensing #mapping
By Todd Redpath (@toddrednz)
#30DayMapChallenge Map_11 #elevation MDE @ICGCat 2x2 SegriàSud Post @iagua @smartwatermag elev. Evolución de la Latitud y Altitud del regadío en Europa https://t.co/vkDCgxvJFM The evolution of the latitude and elevation of irrigated areas in Europe 🇬🇧 https://t.co/jtVozoxpBG
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 6: Blue🔵 25 million bus locations for #LA recorded over 180 days last year from NextBus.... in blue🔵! Also makes up for my missing 'Day 1: Points' post. Height of point is indicative of the speed at the time of recording. #map #transit #3d #animation
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Day 11 - Elevation. Here we have Snowdon or Yr Wyddfa to give it its proper name. Visualised in elevation numbers wrapped to contours with height dictating font size and opacity. [link to original https://t.co/9Fk4NYeNr4]
By Sweary Dave (@citizenfishy)
Elevación del terreno desde el fondo marino. Se aprecia en color rojo la zona de fallas que causa el movimiento del resto de placas tectónicas. En color verde el terreno elevado sobre el nivel del mar. #30DayMapChallenge #Elevation
By Baruch (@datavizero)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 17 (zones): some 820.000 Belgians live less than 20km away from the Doel nuclear power plant (not counting the Dutch to the north). Squares = 1x1km with pop > 500, Antwerp city center in lower right corner
By Maarten Lambrechts (@maartenzam)
Hidroeléctricas en el Rio Grande de Santiago en #Nayarit con capacidad de #Aguamilpa 960 megawatts y #ElCajon 750 megawatts. Aprox. 3.5 de la energía que consume el estado de #Nayarit. #Sentinel2 B12,8 y 3 Sin Atmosfera. #30DayMapChallenge Blue
By Carlos Cortés (@jccpmx)
#30DayMapChallenge day 10: a minimalist #map in #blackandwhite with the number of inhabitants per province // Data source: @pro_in_cijfers // #made_with_excel
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge day 3: polygons
By David Ng'ang'a (@DavidNg96191301)
For #30DayMapChallenge Day 23 (Population), dot density maps inspired by @fogonwater's book and @smallmultiples's recent talk.
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
Water supply / Rivers with Year 8: Using @ArcGISOnline #Analysis to show catchment areas and watersheds for major rivers in UK e.g. Severn v Thames #30DayMapChallenge #HYDROLOGY @tjukanov @GIS4Schools @geogologue
By BC (@mildthing99)
Today’s #30DayMapChallenge theme is “raster”. I still had a terrain model of the Marianas Trench and surrounding areas on my hard drive, so I used Photoshop and @Avenza Geographic Imager to turn it into a neat map. #map #lovemaps #cartography
By One Stop Map (@onestopmap)
Health centers' distribution spatial in Peru #30DayMapChallenge #QGIS #Geographer #Pointstyles
By Antony.Barja (@AntonyBarja1)
#30DayMapChallenge Day 10 (black & white): Hidden messages on maps? Bali is as close to the equator as it is to polar... bears... #map #funny #hiddenmeaning #puns
By Positium (@positium)
#30DayMapChallenge #Suriname has one of the worlds largest reservoirs. Local Maroons, descended from escaped slaves, work today with the government and NGOs to steward nearby forests. Many trees weren't cut when the lake was filled, and so are still standing on the bottom today.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 17 : Zones - Zones commerciales et de bureaux dans la MEL #Lille #RStats #OpenData https://t.co/iwFpRNly67
By Cécile Rodrigues (@Grisoudre)
First day of the #30DayMapChallenge of @tjukanov! We had to use dots so I chose something that tends to always be in the same place. Trees! https://t.co/xBVv2wHVpy
By Irene de la Torre (@inari_ta)
Day 14 (boundaries): Three different Mediterranean boundaries surrounding the Mediteranean Sea #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge. Aquí van varios mapas que se me habían acumulado por algunos días: Para el de límites (Day 14. Boundaries), uno sobre la frontera simbólica más importante para les tapatixs: La Calzada Independencia.
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
Day 7 red, Accidents du travail (accidents at work) Data reuse completely the gathering data/articles job done by @DuAccident #30DayMapChallenge More job could be done (stats per region/area, charts,...) but limited time. Live demo https://t.co/OEvsq1vYXg
By Thomas gratier (@ThomasG77)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 19 (urban): The Growth of Cities, 1500 - 2000. Circle size = population
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Every day I look out my window at Cheyenne Mountain #ColoradoSprings . Decided to end the challenge with a little hillshade of it. It was the beautiful geography of #Colorado that inspired me to get into this field in the first place.
By Carl Churchill (@Cchurchili)
Nov 1: Points - Google is creepy as fuck (and I never go anywhere) Five year years of my google location data #30DayMapChallenge
By Rustie (@rustie5555)
France Day 3 of #30DayMapChallenge, Hexagons.
By John Kennedy (@micefearboggis)
#30DayMapChallenge Black and White What I *think* is Southside, Virginia
By brady (@geo_brady)
Flower of wormwood (Artemisia vulgaris) The Chernobyl Nuclear Power Plant Zone of Alienation Based on my old project https://t.co/ALLTe5QtoB #30DayMapChallenge Day 17: Zones #OpenStreetMap contributors #qgis
By gontsa (@gontsa)
Day 4 Hexagons - How Green is #Belfast? NDVI values calculated from @ESA_EO data sets. Zonal stats were used to assign values to a grid of hexagons across Belfast and surrounding settlements. #remotesensing Data from @openstreetmap, @sentinel_hub, @opendatani #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge Day 3: polygons Another shape of the inequality of our society: Average surface (sq meters) of houses in #Santiago / Superficie media viviendas (en m2) en Santiago Estimation from data of @SII_Chile
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 21: Environmental - Arctic Sea Ice Extent Found an incredible scientific data research resource from NSIDC (https://t.co/8gHFhFJz3A). I snagged 6 years of Arctic Sea Ice extent for today’s date. #climatechangeisreal #meltingicecaps
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 30: Home For me home isn't home without a garden! Every year I'll be sketching out a map of what I planted where to keep track of my companion planting. Everything thrived, including the New Mexico green chiles! Vermont's climate is... *chef's kiss*
By Kerrie Bushway (@kemby_geo)
#30DayMapChallenge 4. Hexagons: I made a small map of Aotearoa (New Zealand) using the World Builder of Civ 6. I need to figure out how to place Piopiotahi (Milford Sound) next time hehe. :) #mapmaker
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
Day 2 of #30DayMapChallenge: Influence areas of two biggest Estonian cities. Topic: 'lines'
By Anto Aasa (@antoaasa)
#30DayMapChallenge Day 24: Statistics. Night time light emissions in Helsinki region in May 2014 as seen by @NOAASatellites Data from the #DECUMANUS project via @HRInfoshare Code: https://t.co/xAEoZYBOSG #RStats #sf #ggplot
By Tuija Sonkkila (@ttso) in Finland
Day 16: Places #30DayMapChallenge This map displays the difference between places (blue) and place name boundaries (red). Data: Top10NL woonkernen, BAG woonplaats grenzen
By Leo (@hendrikxleo)
Globe for #30DayMapChallenge with @d3js_org
By Ramya Ragupathy (@ramya_ragupathy)
[EN] Digging #gold in #Switzerland map of metallic mineral #resources: deposits and former mining sites of metallic minerals (ores) in Switzerland. Metals are no longer commercially mined in Switzerland. https://t.co/o0WxjENcuX by @swisstopo #sgtk #30DayMapChallenge
By geo.admin.ch (@swiss_geoportal)
This one is still WIP. Day 5 (Raster) of #30DayMapChallenge. Some @blender_org. Some GSGS. Islay Island, Scotland. 1933.🗺️🏴
By Joaquin Beltran (@kimus_93)
Dag 6 - Blå Kart over Norge kun basert på @NVE sine elvedata. Ett av få kart jeg har laget med tegneforklaring 🤠#30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
Last entry for the #30DayMapChallenge: Home. Here's the age of homes in my hometown (broadly defined) of Chicago.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge Day 4: Hexagons. Public University centers that offer undergraduate degrees in Uruguay. Post and code: https://t.co/rAUbHdcuN5 #rstats #leaflet
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge Day 25: Climate - Average temperatures throughout the year (1970-2000) #opensource #worldclim #climate #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Day 15: Names 🗺️ I'm taking a break from the awesome challenge for a bit so will end with this 'name' tribute to @tjukanov's idea. I've had a ton of fun and have lots more ideas but little time to do them justice! Data: @openstreetmap #map #3d #animation
By Craig Taylor (@CraigTaylorGIS)
Dag 14 - boundaries: Landegrenser på land #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge 21. Environment- #CORINE Land Cover from the @EUEnvironment -upper classifications with coastal water excl.(left), 2018 and full classifications(right), 2000 -thx2 @CopernicusEU data: https://t.co/p4fBmC4tKS - contrib by @EU_Eurostat E4 #GISCO Team - 9days2go
By hannes reuter (@hireuter)
Day 23 Population for #30DayMapChallenge - some small multiples of 2011 Population distribution of England and Wales by age group. Watch people age and move out of the cities. Trying for a Pop-Art effect but not sure it really works for districts.
By Ian Turton (@ijturton)
#30DayMapChallenge 13, "Tracks" en ik was mijn spoor volledig kwijt op weg naar post 13 bij het WMOC2015 in/rond Göteborg. Na bijna een half uur het zoeken opgegeven om nog op een redelijke tijd af te reizen naar Denemarken.
By Bart Broex (@bbroex)
#30DayMapChallenge my Day 07 - Red, a little late! Took far, far more prospecting, mining and grokking than I expected... Blood Units Donated per 1000 population, a re-creation of a 2016 WHO report map. Needs a bit more QC, 90% happy with it I think.
By AndrewBoltonBPDTS (@ABpdts)
Área urbana que tiene cada Estado, ¡sorprenden los resultados! #30DayMapChallenge Urban
By Carlos Cortés (@jccpmx)
Belated Day 3 Polygons - Cartogram changing the surface area of US state polygons to represent the number of people with over a million in investable assests. Data from @WSJ (https://t.co/ejYwImiCcC) #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
Day 23 of #30DayMapChallenge - Population Répartition de la population en France #insee #pop #france @InseeFr #OpenData
By Ben (@benfriin)
#30DayMapChallenge Day 17: Zones Flood zone map of Shelby, Ohio. #gis #geographyteacher #geography #cartography #maps #map #floodzones
By MyPhysicalWorld (@my_physical)
Zones. I wanted to do danger zone and @kennyloggins and whatnot, but ended up with this classic instead. #köppengeiger #climate #30DayMapChallenge
By Faris Alsuhail (@AlsuhailFaris)
It’s the last day of the #30DayMapChallenge (and November)! The theme is the final day is #home - so here’s a map of #Glasnevin 🏠
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge 9- Yellow "Significant Volcanic Eruptions" Mapped by VEI index @tableaupublic @tableau @Mapbox https://t.co/Srk9gV1ZI8
By Vinodh kumar V R (@VinodhDataArt)
Voy re-mal, pero este es mi aporte al #30daymapchallenge day 21 / enviroment. Y como supuse desigualdad de acceso... En verde puse las áreas verdes de CDMX (🙃) y por atrás puse quintiles locales del índice de marginación de Conapo 😬
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
Todavía es noviembre y aquí les dejo un mapa #30DayMapChallenge
By Alfredo M (@AlfieMar93)
[EN] Erosion risk map for arable land in #Switzerland, with average soil erosion in tonnes /(ha*year) https://t.co/zk1zL3zfwU #30DayMapChallenge #rural @Agroscope
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge Dia 20. Urbano (Urban) Rutas del transporte público concesionado de la #CDMX con las carpetas de investigación de "ROBO A PASAJERO A BORDO DE PESERO COLECTIVO CON VIOLENCIA" Porque parte de vivir en una zona urbana es el riesgo de que te roben en el camión
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 12: Movement - NHL Travel Schedule. All NHL team’s travel movement for the 2017-2018 season (data I used for my @geohipster 2019 calendar map #GoCaps ). My first (and not the last) map that I ever made using @QGIS (I really like the blending mode options)
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 7. Red, 2019 SO2 mean concentration in Mexico City (ppm) I was inspired by @lumendoz who recently published that @Pemex is selling fuels with higher sulfur concentrations than those allowed by law. (one day later, I have the other for today ready).
By Daniel Avila (@Daniel_AvOr)
#30DayMapChallenge Day 23: Population. Last year, for awork task, i followed an excellent post by @undertheraedar on using #qgis atlas by field. So for today I quickly copied it again to show GLA's updated population projections
By Sam J (@samwise_v)
Day 5 of #30DayMapChallenge Land cover: Forests vs. Arid/Semiarid areas
By carolina passos (@carolpos)
Flood #hazard map in Genova, Liguria (IT) Day 26: Hydrology - Data source: Geoportal @RegLiguria for the river network and the official hazard map, @istat_it for Genova boundaries, @ISPRA_Press for DTM, basemap from @openstreetmap - Map done with @qgis #30DayMapChallenge
By Anna, Kerook (@kerooksblog)
#30DayMapChallenge 11. no simple elevation values- Mountain typology based on NUTS LVL3 2016, 2019 -info https://t.co/eE19Bnado1 -viz:https://t.co/0m0ZTTZNGs -data:https://t.co/3Wilx3PcdR -joined contributions by @EU_Eurostat E4-19days2go- Welcome2LUX4 #EUDataViz participants
By hannes reuter (@hireuter)
The best way to start our #30DayMapChallenge is with a map of the people doing the 30DayMapChallenge:) https://t.co/SlszmRvUQC 1. #Chile 13% 2. #USA 12% 3. #UK 11% Nice start Chile!
By Tweepsmap (@tweepsmap)
for day 4 of #30DayMapChallenge a quick hex map of GB pubs, made using #GeoTools and rendered in #QGIS.
By Ian Turton (@ijturton)
#30DayMapChallenge 26 - Hydrology "River Nile and its Basin @tableaupublic @Mapbox https://t.co/FDI2I8n2Xo
By Vinodh kumar V R (@VinodhDataArt)
@kartverket @NorskPolar @NASAEarth 43 Swainson's hawks' annual migration from North America to Argentina and back - over 10,000 km (6,200 mi) each year. #30DayMapChallenge Day 12: Movement Data: https://t.co/Ke5ZcAoKep / Kochert et al. 2011
By Jon Olav H. Eikenes (@jonolave)
A (one-off?) contribution to the #30DayMapChallenge Movement: Hochstetter Icefall descending the eastern slope of Aoraki/Mt Cook, feeding Tasman Glacier, New Zealand False colour images from Venµs (@PoleTheia), inspired by @sgascoin (thanks!) [1/3]
By Shaun Eaves (@GIShaun)
#30DayMapChallenge 6. Blue All the seas & oceans. #kleinBlue
By Karim Douïeb (@karim_douieb)
Halfway through the #30DayMapChallenge! Today the theme was Names, and I plotted the locations of the top 5 most common street names in New Zealand. At #1 is "Park". Are these names what you would have expected? #rstats #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 24: Statistics Looking at the ratio of pubs to population by electoral division for today’s map - unsurprisingly a large supply of pubs in the city centre! @AaronTypesStuff
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge it's Friday night but luckily day one is points, so here's something I prepared earlier... #canberra mapped by 57,000 car crashes
By Dan Miller (@data_nurse)
We've got some new beautiful maps up on https://t.co/8f46GjZWtq for day 23, 24 and 25 for #30DayMapChallenge, covering the themes of "statistics", "population" and "climate" #datavisualisation #locationIntelligence #dataanalytics
By Emu Analytics (@emu_info)
Elevation. I visited Urho Kekkonen National Park in 2013. And, because I was so crossfit, I climbed one of those fells, like a total beast #crossfit boss #bro! Rendered with #rayshader by @tylermorganwall, DEM by @Maanmittaus #30DayMapChallenge #dataviz #maps #dem @rstudio @qgis
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge Day 1 - points Hydrological measuring sites of discharge and water level. Enormous thanks to @pinnanalta and @SYKEinfo for providing open and comprehensive data!
By Thomas Banafa (@ThomasBanafa)
Day 26 of #30DayMapChallenge - Hydrology 🔁Major France watersheds 🔁 Open Dataset from @IGNFrance / #MadewithQGIS >https://t.co/VHX9iVhizj
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge #Day9 #Yellow #Bananas #Ecuador #OSM #OpenStreetMap
By joshua sumers (@joshua_sumers)
#30DayMapChallenge 10. Black and white Norwegian S-57 nautical charts from @kartverket displayed in S-52 with vector tiles from ECC GeoView displayed in Mapbox GL JS and converted to b&w. Yes, the S-52 display of underwater rock is cluttered - so better keep away from those.
By Tore Halset (@torehalset)
#30DayMapChallenge 7. Red. Traffic accidents @Turkukaupunki during 2011-2017 from @Tilastokeskus. It took me way too long with this map, hate labeling. But point clustering method in styling with QGIS is quite handy. I also learned a lot which is the best part of the challenge!
By Sanna Jokela (@SannaJokela1)
Day 23 #population #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge Day 13: Tracks - didn’t have time today to make a map from scratch, but here is my #gps track from a particularly awful piece of #orienteering last year, control 4 to 5... 😂#cantreadamap #whichwayisnorth #gis #strava #jk2018
By Kirsten Reilly (@_penguin_runner)
18 Globe Exchange program of Brazilian architecture students #30DayMapChallenge
By carolina passos (@carolpos)
Edinburgh Bus Network, using opacity to highlight coverage of road network. #30DayMapChallenge / 2. lines. Using #osm data, #qgis, OS Open ZoomStack.
By Steven Kay (@stevefaeembra)
#30DayMapChallenge 7: sarkans. Valsts svētku noskaņās - Brīvības iela. Pirmais mēģinājums ar QGIS 3D skatu.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge Day 11: Elevation
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Día 7. Rojo. Vigorosidad de la vegetación en la costa de Jalisco; esta composición de bandas se llama falso color y permite evaluar la intensidad de la vegetación; entre más rojo más vigorosa. @esa_es @sentinel_hub @tjukanov
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Tratando de ponerme al día. Dia 21. Ambiente. Superficie en el territorio nacional ocupada por bosque de pino, encino u oyamel. #RStats con datos de uso de suelo de @Conabio
By Juvenal (@JuvenalCamposF)
Day 6: Blue. Oh well, at least I tried🤷️#30DayMapChallenge
By Anniina Kovalainen (@kovalainenaa)
Open-pit mining in the Dnipropetrovsk Oblast. Kryvorizkyi Iron Ore Basin (Kryvbas) #30DayMapChallenge Day 27: Resources Data: #OpenStreetMap contributors, #qgis
By gontsa (@gontsa)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 21. Environment #30DayMapChallenge Protected Areas in Mexico. Data from @globalforests
By D. (@daniel_isita)
Day 4 of #30DayMapChallenge Mapping #airbnb data in São Paulo > blue: number of rentals; green: average daily rate.
By carolina passos (@carolpos)
#30DayMapChallenge Day 24 - Statistics Mapping Romania's Presidential Elections results: Round 2. Tools: QGIS and D3 Data: Geoportal ANCPI, BEC https://t.co/H04YLlg1tf #maps #elections #harta #alegeri #prezidentiale
By MapTheClouds (@maptheclouds)
#30DayMapChallenge 10. Black&white Today I visualised 10 years of urbanisation in #Brazil🇧🇷. The urban footprint measures the expansion of a city in the territory. data: R package geobr #dataviz #maps #ggplot #rstats #urban #SãoPaulo #RiodeJaneiro #Brasília #Belem #SDG11
By Olga Kononykhina (@bettermeasured)
Day 1 of #30DayMapChallenge, Points.
By Ariel Kadouri (@akadouri)
#30DayMapChallenge 22- Built Environment "Hoover Dam " @Mapbox @tableaupublic https://t.co/9ckBhm7gza
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge Why not use two rasters at once? DEM + NLCD of Asheville, NC
By brady (@geo_brady)
Day 21 of #30DayMapChallenge - Environment Répartition des forêts publiques en France #ONF #foret #publique @ONF_Officiel
By Ben (@benfriin)
#30DayMapChallenge Here's my map Day 06 - Blue, bit of a play on 'The Thin Blue Line', Choropleth of Number of Police Officers per 1000 people in @qgis, based on Mid 2018 numbers. Uses @ONS @OrdnanceSurvey & @ukhomeoffice data - links in thread...
By AndrewBoltonBPDTS (@ABpdts)
@kartverket @NorskPolar @NASAEarth Where is Å? Lots of places! By the way, å "developed as a form of semi-ligature of an A with a smaller o above it to denote a long and darker A", according to Wikipedia. Data from @kartverket (N50) #30DayMapChallenge Day 15: Names
By Jon Olav H. Eikenes (@jonolave)
#30DayMapChallenge Día 6. Azul. Ríos y cuerpos de agua en el estado de Jalisco. Consulta el mapa interactivo en: https://t.co/mU1bN1v7nP
By IIEG Jalisco (@IIEGJ)
@ESRI makes it pretty simple to throw in data and run a quick analysis. Whilst I understand it isn't the most aesthetically pleasing, nevertheless. Day 3: Polygons for #30DayMapChallenge Clusters of cities that have been classified to be a part of the the #siliconprairie 💻🌾.
By Marc Marean (@marcmarean)
Day 8 of #30DayMapChallenge: green. Parks in #Christchurch, New Zealand. Left: park polygons, Right: tessellation of polygons centroids (catchment) while colour is log10(park area), darker = larger. @openstreetmap data + shapefile. #Rstats Code: https://t.co/Fz9Z2D2K9D
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Sentido de las Calles con Límite CdMx-EdoMex #30DayMapChallenge Boundaries
By Carlos Cortés (@jccpmx)
#30DayMapChallenge Day 19: Rural - Natural Vegetation (Nebraska) Tools: @QGIS. My great grandfather bought the Pollard Farmstead outside Ashland,NE in 1925. A working farm until my grandfather retired in 1984 (it stayed w/ the family until 1994). My dad rode his horse to school.
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 2: Lines Displacements of the large storms over the Amazon basin with genesis at 17 UTC (~13 LT) occurred in 2008.
By Amanda (@SalvatiRehbein)
#30DayMapChallenge -2.- Rail lines featuring the Electronic Railway Traffic Management Systems (ERTMS), info: https://t.co/aUsZEzCu0K, data:https://t.co/kByyEtVd3f - joined contributions by several colleagues from our @EU_Eurostat E4 Team - looking forward for 29 days - GISCO
By hannes reuter (@hireuter)
Day 16 of #30DayMapChallenge – Places. Here’s SOME of my favorite places to eat in QUEENS aka the best borough, fight me. For some reason I decided to go with a cartoon theme + comic sans on the map 😎 (Falling a day behind again…..)
By ಠ_ಠ (@DeniseDSLu)
Day 7 of #30DayMapChallenge: red. Traffic signals in Santiago, #Chile. @openstreetmap data + #chilemaps shapefile. #Rstats Code: https://t.co/jhSLUIfWog
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Dia 2: Línies. M'està agradant això dels mapes foscos. Jugant amb els blend modes i opacitat. On coincideixen més les rutes d'autobusos a Lleida? Day 2: Lines. Where do most bus routes meet in Lleida? Made in #QGIS #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge #Map_13 I have drawn the tracks today with my F750GS @BMWMotorrad @bmwmotorradesp
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 23. Population Women outnumber men in the EU (262m 👩🏻 versus 251m 👨🏻), but which regions stand out if we look at the male-female-ratio? (Psst..This map might be quite handy if you're single 😉) Interactive version 👉🏻 https://t.co/qxuEqAzkKz
By LocalFocus (@LocalFocusNL)
Here's our contribution @plotlygraphs for day five of the #30DayMapChallenge: an interactive demo of our ✨new✨rasterly package for @rstats, now available on CRAN! The syntax is user-friendly and it's pretty speedy🐎, even for larger volumes of data. https://t.co/p6kMo3Lpy6
By Ryan Patrick Kyle (@ryanpkyle)
#30DayMapChallenge 1 - points. kinda shortcutting here by taking a viz i worked on a couple months ago. but it turns out it's possible to position the countries of the world along a grid and maintain a kinda recognizable w o r l d l a y o u t! https://t.co/Bu6MIlkLAx
By cristen b (@thecristen)
#30DayMapChallenge 12: kustība. Šovasar nereti nācās iesprūst uz Jūrmalas šosejas. Žēl, ka neiedomājos ātrāk izvilkt Waze datus, septembrī sastrēgumi jau bija retāki.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge Day 3: Polygons - Seas of parking in Downtown Raleigh #gischat https://t.co/KPkGRKzP7D
By maptastik (@maptastik)
Day 7 in Australia. #redmaps Had to have a play with QSpatial 1m DEM using @ephtracy s awesome #Aerialod thanks to @undertheraedar for the encouragement. @QUTSciEng SERF facility as a sun burnt country. #30DayMapChallenge
By Andrew Fletcher (@EVB221)
Day 11 Elevation. My favourite place on planet earth. The Ring Dyke of Gullion & The Mourne Mountains. Elevation surface and hillshade inspired cartographer Eduard Imhof with instructions by @John_M_Nelson #30DayMapChallenge #GeographyAwarenessWeek #Ireland #UK #NorthernIreland
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
#30DayMapChallenge Day 16: Places Here’s a quick map of each of the places I’ve been in #Germany, along with the areas reachable within 100km from each 🇩🇪
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 11 - Elevation Lidar DSM visualized with #Aerialod. Data: DefraData UK
By Abdishakur (@shakasom)
Algo de la conciencia política en el 2018, zonas en los extremos estadísticos del porcentaje de participación. #30DayMapChallenge Zones fuente: @INEMexico #Analytics #Statistics
By Carlos Cortés (@jccpmx)
#30DayMapChallenge Day 11: Elevation Krkonoše & Jizera mountains. -- Due to the extremely big danger to the natural substance of the mountains themselves the Krkonoše Mts. were registered in the list of the most endangered national parks of the world (IUCN, 1984)
By Eliška Vlčková (@vlckel)
#30DayMapChallenge Day 26: #hydrology. Flow direction map created using #QGIS 3.10. #Crayfish plugin by @lutraconsulting used to visualise the #SAGA flow direction output with arrows. #opendata: #SRTM 1 Arc Second DEM blended with hillshade. Streams derived using #Strahler order.
By Hans van der Kwast (@hansakwast)
#30DayMapChallenge 15. Names James, Jesse, Julia.. What are the most common first names for babies in The Netherlands? Check out the top 10 per region. Interactive version 👉🏻https://t.co/hXYGgWilss
By LocalFocus (@LocalFocusNL)
Day 13 of #30DayMapChallenge - tracks. An old comparison of mine for 3 GPX trace/track recording modes with a #Garmin device. Same road and direction. Red - Auto/Most often Blue - 0.01 km Green - 1 second
By Rihards Olups (@RihardsOlups)
@openstreetmap Dia 19: Urban. Pàrquings a Lleida. Els punts són pàrquings dins d'un edifici o subterranis. Dades d' @OSMcatala. Amenity=parking. #30DayMapChallenge #QGIS
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge Porto Alegre-RS, #Brazil 🇧🇷 - Road Main Network 2019 (>=tertiary) © CC BY-SA 2.0 @openstreetmap contributors / Map: @qgis default tools / GIF: https://t.co/PTYaUcZQV1
By Sérgio OSMsmaprs (@sergioajv1)
#30DayMapChallenge I'm late, but better late then never! Day 1⃣ Points: Restaurants accessible using a wheelchair - restaurants: @openstreetmap nodes tagged as amenity=restaurant & wheelchair=yes (https://t.co/N9pzOekoow) - coastlines: from Natural Earth - map: made with @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge 27. Resources: Tribute to water mills – our forgotten resource 💦 Estonia is full of small water mills that nowadays are mostly not working anymore. There are some rare exceptions like Hellenurme Water Mill which is still making flour with the power of water 😊
By Evelyn (@evelynuuemaa)
#30daymapchallenge day 27 is 'resources'. We're taking this as an opportunity to showcase our 56 #indigenous resources in #ArcGISOnline: #maps, #apps and #data that support indigenous #education. https://t.co/w72N0Er8IK
By GIS for Education (@GIS4Teachers)
#30DayMapChallenge Day 23: Population Tools: @ArcGISPro Greenland is the least densely populated territory in the world and is home to the 2nd largest ice sheet. Climate change has caused mega-melts, which are causing the ice sheet to shed billions of tons of ice #climatechange
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 02 - Lines Les ferrys aux alentours de la Corse
By ArtisansCartographes (@Artisans_Cartos)
#Valladolid #Yucatan | 1984 - 2019 #30DayMapChallenge Población 1980's: 28,201. Población 2015: 80,313.
By Reconociendo MX (@reconociendoMX)
389 de los 2,458 municipios que conforman a México inician con San y Santa. El 72% son de Oaxaca. #30DayMapChallenge
By Alidrisi Cartografía (@alidrisicarto)
@tjukanov #30DayMapChallenge Day 5: raster. I'm so bad with raster data and almost quit. So I just used @Maanmittaus basic map & dem to make a treasure map of my Island. There is a rumor,that long long time ago,pirates tried to steal a rich land owners treasure,but he hid it somewhere...🤫
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 4: hexagons Distribution of housing shortage in #Santiago, Chile. Déficit de viviendas en Santiago, Chile According to @f_vivienda estimates with data of @INE_Chile , in Santiago about 130.000 families need a new home.
By Juanizio Correa Parra (@Juanizio_C)
Day 20: Rural My home province of Alberta with #ArcGISPro and #Photoshop on a photo of my actual notebook (complete with the coffee stain that rendered it dead to me) #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
Lego #VA showing elevation for #30DayMapChallenge #raster #maps
By Sebastian Hancock (@_sebastianch_)
Day 14 Boundary #30DayMapChallenge Invisible boundaries in Rio de Janeiro: Slums (Rocinha) vs Rich neighbourhood (Leblon) Educational attainment data
By carolina passos (@carolpos)
Day 28 Funny: Cómo ir de Repende a Kagar. #30DayMapChallenge Two small towns 90 km away from Berlin make the funniest sentence in Spanish, if you want to one after the other. This translates: "How to suddenly crap" and my favourite "Wie geht man plötzlich kacken" #lovegermany
By Paola Barajas Barbos (@Paola_barbarbo)
#30DayMapChallenge day 9. Yellow. As the only right (cultural) capital in Finland, here are the places of culture near river Aura in @Turkukaupunki based on OSM and joined with building data from NLS-FI. Other possible yellow things considered: toilets😛. Made with QGIS with 💛.
By Sanna Jokela (@SannaJokela1)
Day 24 of #30DayMapChallenge - climate Interpolations des températures dans la région bordelaise. #qgis #interpolation #terroir
By Ben (@benfriin)
Catching up on the #30DayMapChallenge — here's my "Names" map featuring my first name. I used https://t.co/dVy1OuZKcH to grab all the nodes that exactly match it (node["name"="Riley"] is the key). I also used https://t.co/3d6x6tKMY0 for for the funky angular basemap.
By Riley D. Champine (@rileydchampine)
Day 22 #30DayMapChallenge (Built Environment): New Zealand distribution of Car Parks
By Andrew DC (@andrewdc_nz)
Globe. Rumor has it that spatial data is everywhere. Like, all around the globe 😱 Rendered with Eevee/Blender, thanks @Olaviuss for the tutorial! #30DayMapChallenge #earth #globe #blender #b3d
By Faris Alsuhail (@AlsuhailFaris)
Abstract statistics on fertility, mortality and migration processes for the first part of 2019 in some regions of Ukraine. #30DayMapChallenge Day 24: Statistics Data: #OpenStreetMap contributors, #qgis, https://t.co/QYgy36DqKS
By gontsa (@gontsa)
Día 2 del #30DayMapChallenge Líneas. Calles de Göttingen, Alemania.
By Josué Rodríguez (@J_Rdrgz)
#30DayMapChallenge Day 21- environment Sites of specific scientific interest. I focused on the Lake District and mapped SSSIs with average daily traffic flow next to them. I was shocked at the numbers.
By Sweary Dave (@citizenfishy)
Day 1 of #30DayMapChallenge (Points). Where were New Zealand Prime Ministers born? #QGIS
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge Day 2: Lines I made this in an attempt to reproduce a map originally created by Neil Paine and Ella Koeze from @FiveThirtyEight. Code: https://t.co/gU7n9ZNVdw
By R.Richard (@rorich)
Día 5: Ráster / Et nääjx y'awännäx La luz nocturna de las comunidades #mixes es mínima si la comparamos con las dos ciudades más grandes de #Oaxaca. No obstante, a medida que las comunidades crecen, comienzan a hacerse visibles desde el cielo nocturno. #30daymapchallenge
By Colmix (@Colmixe)
Day 30 of #30DayMapChallenge – Home: My new home in the style of my old home
By Andrew Tyrrell (@SouthArrowMaps)
Day 25: Climate. Monthly average air temperature. Data from @ECMWF @CopernicusEU Code: https://t.co/y6OcXWFQGW #30DayMapChallenge #rstats
By Javier Elío (@Elio_Javi)
My submission for #30DayMapChallenge Day 5- Raster @USGSLandCover raster and DEM from @USGS . I used hillshade styling on #DEM and blending to pop out terrain and show how built areas and farms grow around it. I'm very happy with how this turned out 😀🗺️ Made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Day 7/8. Red/Green Most color blind people have red/green color blindness. Take that into account and avoid things such as the color ramp used in the map below. Also, don't use a divergent color ramp when your data is not divergent.
By Víctor Olaya (@volayaf)
#30DayMapChallenge Dia 8. Verde (Green). Dedicado a mi alma mater, en este mapa se muestra la cantidad de Alumnos de la @uach_chapingo por entidad federativa. A pesar de tener presencia nacional, la mayoría de los alumnos provienen de #Oaxaca y el #Edomex.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 19: Urban A quick analysis of urban vs rural public transport in #Cork showing vast impacts of the #urban environment on connectivity and access to services
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 3 - Polygons soilless culture in Almeria region, south spain
By Gaëlle (@Gaelle_Sutton)
Empiezo tarde al #30DayMapChallenge, pero ya llegué!!! Les presento un mapa del porcentaje de viviendas con agua potable a nivel municipal. BC pues xq despoblado, pero Chis. y Ver. mal; pensando q contar con agua potable es súper importante en materia de salud pública. Baaai!
By Frida Celis (@frida_celis)
#30DayMapChallenge 2. Lines Intervisibility of Forts and Fortlets along the Gask Ridge, Scotland. 6km max distance; 11.65m observer height.
By Joseph Lewis (@josephlewis1992)
Mapping #30DayMapChallenge
By emil (@57x025)
#30DayMapChallenge Day 2. Lines Haskell County, Kansas crop circles. Derived from 2017 NAIP.
By Travis White (@visualvariable)
🗺 No.10 A map of the area around Shinjuku where there are huge buildings in Tokyo 🗼 Even within the scope of this figure, 84633 features are displayed. 😲 🦉 Code: https://t.co/QDHAOTr4Oc #30DayMapChallenge
By Uryu Shinya (@u_ribo)
#30DayMapChallenge Day 03 - Polygons; #QGIS QGIS built Voronoi Polygons derived from GP (Doctors) Postcodes, with Number of Doctors per Polygon... in England. From @NHSDigital & @OrdnanceSurvey #OpenData Don't think there's any #Open GP Boundary Data? so thought I'd make some.
By AndrewBoltonBPDTS (@ABpdts)
#30DayMapChallenge day 15: a municipality #names map of #Belgium. The name sizes are based on their area and the name length.
By Michel Stuyts 🌍 (@michelstuyts)
Para el día 12 del #30DayMapChallenge no podía elegir otra cosa que mis propios movimientos. Casi 900 entrenamientos resumidos en 24 segundos (los colores son aleatorios). Aquí se ve entero https://t.co/QA3lG4mHHp El mapa de fondo es del @IGNSpain
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge 12. Movement In 🇳🇱, almost 3,000 persons were recorded walking the highway since 2014: from people with car troubles to lost tourists. On this map - which isn't moving but is about movement - you'll find the hotspots. Interactive 👉🏻https://t.co/JNrHoPUhiT
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge Day 4. Hexagons ✅ Airbnb's density in Paris Dataset > https://t.co/rTEH1GvTew / Made with #KeplerGL
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge Day 4: Traffic accidents in Barcelona year 2017. Data #OpendataBCN
By Luis Aguilar Cruz (@LuisAguilarCruz)
#30DayMapChallenge 17. Zones I just watched Chernobyl on HBO so this feels a bit surreal to me right now, but people in 🇳🇱who live relatively close to a nuclear plant can also get iodine tablets. We plotted the zones on the map. Interactive 👉🏻https://t.co/hn4fhG0WEH
By LocalFocus (@LocalFocusNL)
For #30DayMapChallenge 18 (Globe) I linked up territories in Antarctica with their controlling countries. Screenshots here; interactive version on my page of maps: https://t.co/VLa5LtN0va
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge Day 29: Experimental - Created for my parents 30th Wedding Anniversary - The Dents Du Midi filled with locations that are special to them #opensource #osopen #osm #scotland #cornwall #yorkshire #peakdistrict #chatel #gischat #geography #cartography #makemapsart
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Day 12: Movement: Magnetic North has been moving at an accelerated rate in recent years causing update issues for those who rely on it. Here's an animation of unmarked declination contours moving over the last decade in North America.
By Craig Williams (@williamscraigm)
RT maptastik: Whew, finally caught up! #30DayMapChallenge Day 11: Elevation: The Berkshires near Lenox, MA https://t.co/6Yp8laa1f0
By Rizwan Shaikh (@rizwan236)
Day 7 of #30DayMapChallenge – Red: Waiheke Wineries
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 2⃣0⃣ Rural: Map of the agricultural and forest landscapes of Piedmont Region, Northern Italy 🇮🇹 scale 1:250'000 Source: Piedmont Region Geoportal https://t.co/aiweBen4bN Map design: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge 4 - raster raster master i am not but here's the rasterised view of yday's 100m grids. fun doing this in #QGIS having previously only really used it as a styling tool after #postGIS 🤩
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 22: Permitted and completed buildings in Austria since 2011 #STATatlas @STATISTIK_AT https://t.co/pcynT49mhJ
By g.katz (@knozi1)
Dag 4 - hexagoner Kartet viser tre-tetthet i et hexagon-rutenett. Det er på Geitmyra skolehager at tettheten er høyest. Data fra @Bymiljoetaten , inspirert av @underdarkGIS #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30daymapchallenge Day 01: points Bicycle accidents Santiago, Chile (IDE, 2016)
By Mauricio González (@magonza9)
Day 22: Built environment #30DayMapChallenge Urban areas in North Korea and South Korea. Data: Natural Earth
By Leo (@hendrikxleo)
Sooo far behind but determined to do them all so I keep learning. #30DayMapChallenge Day 2 lines theme. A quick boring one to catch up... public transport in Sydney. (After I spent days trying to get other data I really wanted).
By Kylie Wilson (@_kyliejane)
Keeping it simple for day 10 of the #30DayMapChallenge - a black and white map of major roads in #France
By Antonia Blankenberg (@blanky343)
Day 2:Japanese Road Network Data Source: Open Street Map Contributors 道路だけで日本を描いてみる #30DayMapChallenge
By にゃんこそば 🌧️ (@ShinagawaJP)
#30DayMapChallenge Day 23. Population Dot densities of all Kansan cows, hogs, sheep, and goats by county. Down to the wire with this one!
By Travis White (@visualvariable)
La producción de alimentos es el principal uso que damos al #Agua y #Suelo. Las condiciones en que éstos se encuentran en México nos exigen transitar hacia modelos productivos #sostenibles y acercarnos a lo #orgánico. #30DayMapChallenge
By AgroDer (@AgroDer)
#30DayMapChallenge 14.Borders: turns ou that most Estonia's administrative borders run along (no surprise) water or forest 😁
By Evelyn (@evelynuuemaa)
Day 8 "Green". Three ancient hillforts in Tērvete, Latvia. LIDAR data digital terrain model (DTM) and digital surface model (DSM) #30DayMapChallenge @lvmgeo
By LVM GEO (@lvmgeo)
Progression du pourcentage de gens qui se rendent au travail à vélo à #montréal de 2001 à 2016 #velomtl Merci à @kahosford pour les cartes comparant l'utilisation du vélo dans les 4 villes INTERACT pour le #30DayMapChallenge @BIXImontreal @VeloQuebec
By INTERACT (@TeamInteractCA)
@Syracuse1848 #30DayMapChallenge Day 4: Hexagons Active Liquor Licenses in Syracuse Data: https://t.co/kNPXI6zGPr Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Dia 3. Polígonos. Polígonos de Voronoi de las Estaciones de #Ecobici coloreados de manera aleatoria. Los polígonos de Voronoi son como las "zonas de influencia" de un punto en particular. O las zonas de mayor cercanía. #Rstats con datos de @ecobici
By Juvenal (@JuvenalCamposF)
Movement. Couple days behind #30DayMapChallenge
By emil (@57x025)
#30DayMapChallenge Day 25 - #Climate Polar climate in #Arctic and the 2050 Chelsa projection for 10°c mean july temp (which is the usual delimitation for polar climate) here is the last IPCC report about ocean and cryosphere https://t.co/PQmQQmJt75 & https://t.co/fhvWQe7JA8
By Gaëlle (@Gaelle_Sutton)
Volcán activo el #ceboruco en #nayarit y rio Santiago #30DayMapChallenge Elevation
By Carlos Cortés (@jccpmx)
@tomchadwin @ricckli #30DayMapChallenge Day 5: Rasters - Citrix Cycle Ride KDE and comparisons with point rendering in QGIS. https://t.co/SxRoNnZeZY
By maptastik (@maptastik)
Day 11: (No) Elevation. Building a workflow/app/map to help ice crews make flat ice for #curling. #30DayMapChallenge
By Sam Jenkins (@SamIAmFargo)
Day 22 of the #30DayMapChallenge and here I have tried to capture the local stone colour for Built environment.
By Mark Wigley (@mwigley2)
Cuartil 4 de municipios de la tasa de mortalidad acumulada por Diebetes Mellitus Tipo 2 en el período 2010-2015. (Hombres y mujeres de 45 años y más) #30DayMapChallenge @SantaellaJulio
By Oscar Juarez (@OJuarezFlores)
#30DayMapChallenge Day 15 - Names. We thought we’d look at our own name (and namesakes) in the UK. All the places and businesses in the UK with #Emu in their name https://t.co/ZuXpzVruiv #GIS #DataVisualization #maps
By Emu Analytics (@emu_info)
Day 18 of #30DayMapChallenge - Globe Intéressant. Carte en 3D autour des données météorologiques à l'échelle mondiale #3D #visualisation #climat @climat_info
By Ben (@benfriin)
Day 16 of #30DayMapChallenge - places: The places that you can and cannot (theoretically) post a letter to in New Zealand. Code (bad, horrible, inefficient code): https://t.co/oMZDnTn8ZB
By Aaron Schiff (@aschiff)
I've already learned lots of things thanks to the #30DayMapChallenge - one major win is to get to know @Natural_Earth and the resp. #rstats📦{rnaturalearth} 🌐 by @rOpenSci! Made my catch-up contribution for today's challenge "zones" very easy 🦸 ♂️ #ggplot2 #tidyverse #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge DAY12 #movement
By PJ #GISTonicker (@pj_go_2020)
Day fourteen of the #30DayMapChallenge (names)... Breaking down most #mlb home runs hit by birth state
By Daren Willman (@darenw)
#30DayMapChallenge day 11: elevation. Vongoiva fell in Urho Kekkonen's National Park. @Maanmittaus 2 m DEM, #QGIS multidirectional hillshade. Coloured with ortophoto, blending mode “burn“. Idea from this tutorial: https://t.co/ypCbstwbpO
By Teemu Saloriutta (@TeemuSaloriutta)
#30DayMapChallenge nr. 18, "Globe". Voor ik verder aan het experimenteren ga, eerst een terugblik op de activiteiten van het GCE-programma in het najaar van 2017. Nog niet echt een globe, maar wel wereldwijde activiteit binnen en buiten de partnerlanden.
By Bart Broex (@bbroex)
Something Blue for Day 6 #30DayMapChallenge Per capita income in São Paulo region
By carolina passos (@carolpos)
Archeological sites in buildings in "La Candelaria" (Bogotá). Day 16 - places (late) #30DayMapChallenge #qgis #bogota
By Felipe Lancheros 🐯 (@MiniTigri)
#30DayMapChallenge Day 19: Urban. Point cloud visualization of the Sky Tower. This is an old image from about four years ago, but it never made it far from my hard drive. I thought the urban theme would give it a good use and let it out to a wider audience.
By XYCarto (@XyCarto)
Day 5 of the #30DayMapChallenge : Raster…Looking at #NASAsedac data for global crop lands…and thinking of the opportunities for #IoT in agriculture. #IMNOS
By Patrick Nelson (@pnelson917)
Day 29 of the #30DayMapChallenge theme "Experimental": a #rstats made map of where my tweets travel-representing my Twitter followers as landscape based on friends clusters. As an experiment, here is a writeup of my code and thinking through the process: https://t.co/gbDbYyW2di
By David Hood (@Thoughtfulnz) in New Zealand
Day 4 of the #30DayMapChallenge and I made a Crop Map of England (CROME). The vector dataset contains approximately 32 million hexagonal cells classifying England into over 20 crop types. Took a while to process and display the data at a national level! #GIS #ArcGIS #Hexagons
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge | Day 19: Urban Proportion (%) of built-up areas per region in 1975 and 2010 in Europe.
By FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰 (@filipebatsilv)
#30DayMapChallenge Day 5. Raster 🔃Digital Elevation Model 3D visualization in QGIS DEM (hillshade and elevation color ramp ) + Google Imagery + QGIS 3 ;) -DEM from NOAA (https://t.co/7ZAy7tF9MZ) -Tutorial > https://t.co/JcsdgGRPQG
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge 5. Raster We plotted all the shipping accidents that occurred near Rotterdam in the last ten years. The 'Botlek bridge' seems to be the bottle neck, with 38 registered accidents since 2008. Interactive version (nationwide 🇳🇱) https://t.co/IGT0KCmaLz
By LocalFocus (@LocalFocusNL)
@ETSEA_UdL @SERLleida @MiquelPueyo @paerialleida @LoJoan @DiputacioLleida @TeresaJorda @agriculturacat @pintegrada @presseguer @FruitsdePonent @casasnovas115 @dmacs_udl @Europarl_CAT @DolorsMM @sorayarr_ @fjavilopez @NarcisoPastor @Eng_Agronoms @EUAgri @RamonSumoy @victorfalguera Avui es el dia Rural del #30DayMapChallenge Map_20 Rural Comparteixo la meva entrada @iagua 173. La Catalunya rural i l'aigua. Es possible que aquest post aporti informació a alguns del ponents del 2n Forum Agroalimentari. https://t.co/VvaNotk934
By Ignasi Servià (@iservia)
Day 11 of #30DayMapChallenge – Elevation: Unmapped Pleasures of Antarctica
By Andrew Tyrrell (@SouthArrowMaps)
@kartverket @NorskPolar @NASAEarth Hey Google, where is the Wall? 🧐🤣🤓 A speculative map of Westeros / Game of Thrones / Song of Ice and Fire! Source: @grrmspeaking and https://t.co/vD4lQwqYIY, inspired by @gmapsplatform #30DayMapChallenge Day 16: Places #GOT #funny #map #fanmap #fanart #fiction
By Jon Olav H. Eikenes (@jonolave)
For day 22 / #builtenvironment of #30DayMapChallenge @AvipsaRoy mapped Average Annual Daily Bicyclists in @TempeArizona by bias correcting crowdsourced fitness data app. Dark green = more cyclists | Light blue = fewer cyclists
By INTERACT (@TeamInteractCA)
#30DayMapChallenge Day 7: Red Urban Built-up Areas of Bangkok and Thailand 2015 Made with #qgis Source: GHS-Built #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
Sometimes your day doesn't go as planned... Late contribution to #30DayMapChallenge Day 16: Places Extreme places on earth with regard to temperature 🥵🥶 and elevation 🏔️ per continent and depths per ocean 🌊 🔗https://t.co/p8QHXpnUbM #ggplot2 #tidyverse #rstats #dataviz
By Cédric Scherer (@CedScherer)
Day 30: Home #30DayMapChallenge The neighborhood in which I grew up. Data: Basiskaart grootschalige topografie (BGT), Buurten 2018
By Leo (@hendrikxleo)
#30DayMapChallenge day 9: Yellow As it's the last 26 hours to vote in #BirdoftheYear & Hioho, Yellow-eyed penguin, maybe will get enough votes to be the 1st seabird Bird of the Year, here is a map of how to get from central Dunedin to Okia Reserve, to see the rarest of penguins.
By David Hood (@Thoughtfulnz) in New Zealand
Day 17 of #30DayMapChallenge – Zones. Here’s a plant hardiness zone map for Alaska. Gardeners can use the zones to determine when certain plants will thrive based on average lowest temperature of a certain location.
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 6 #Blue Risk of rainfall and flooding in Mexico City🌧️ #QGIS
By Carmen Carro (@CarmenCarro_)
Wasn’t there a #30DayMapChallenge, with Nov 1 being point maps? Anyway I am starting with points. This is an elevation map too 🍸😹 in case I don’t have anything on the 11th.
By Martinicat 🍸 😺 (@The_Martini_Cat)
#30DayMapChallenge Day 4, hexagons: Injection wells in Colorado (data from: https://t.co/J7Q0kfw5Bj)
By Joanne Cheng (@joannecheng)
#30DayMapChallenge 2nd Day - Lines This time I used my Google Timeline to extract all my trips and plot them. Google started saving my location in January 2018, so there’s no information before that. https://t.co/tfWRanaYW1 PS. No idea when I gave permission to save my info 🙄
By Irene de la Torre (@inari_ta)
#30DayMapChallenge Day 2 - Lines A line between every neighbouring meshblock.
By Timmy (@gallicist)
Whew, finally caught up! #30DayMapChallenge Day 11: Elevation: The Berkshires near Lenox, MA https://t.co/rHTIgsoZqO
By maptastik (@maptastik)
Day 26 of #30DayMapChallenge – Hydrology: Tongariro Hydro Power Scheme
By Andrew Tyrrell (@SouthArrowMaps)
Guess the Irish town. #30DayMapChallenge Day 22: built environment. Does anyone know how to use #ggplot2 osm_line2poly to colour in the sea?
By Sláinte Claus (@iamreddave)
Barely in time for the #30DayMapChallenge on "Raster" day — I'm using my map as a shout-out for an awesome data source: @USDA's Cropscape --> https://t.co/Ae9D2ICnQe. It can help you answer important questions like, "Where does the alfalfa grow in Alfalfa County, Oklahoma?
By Riley D. Champine (@rileydchampine)
Using @openstreetmap building count as a proxy for #30DayMapChallenge population map - overlaid hexagon grids (~1 https://t.co/fILKYGqtMG area) to show dense blocks in Bengaluru. Grids with > 2.5k buildings - highest is 3584 buildings in a grid - are highlighted in red
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Day 1 #DiaDeMuertos Cemeteries in Mexico City #Jupyter #QGIS #Sketch
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 15: Lego, oops I mean names. I tried to be clever and use a geometry generator in #QGIS for the name but ended up having to switch to Inkscape. Uses the new(ish) river names dataset from LINZ
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 18: Globe🌎 Anyone remember the brief landing sequence on LV 426 from one of the greatest sci-fi films ever - Alien? Well, I tried to recreate it for today's 'Globe' challenge. #map #3d #animation #scifi
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Day 23: Population. 2020 population density estimate for the world.
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 3. Polygons ➡ Rethink the contours of the french regions based on the distance from the municipalities to the regional capitals #Polygonsvoronoi #MadewithQGIS
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge Día 13. Trayectorias. Huracanes que han afectado al estado de Jalisco, 122 eventos de 1945 a 2019.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 1⃣4⃣ Boundaries: The 28 European Union (EU) Member States classified according to the year of entry 🇪🇺 Data from Natural Earth & https://t.co/Mgyz7lXgDC, map made with @qgis
By Marco Minghini (@MarcoMinghini) in Italy
Rural. 20 maps down, 10 to go! Here's a study of the amount of tractors / 100 ha of arable land in Finland. So much disruption. Data: @LukeFinland, @Tilastokeskus, @TraficomFinland #30DayMapChallenge #rural #maatalous #agriculture #disruption #disruptio
By Faris Alsuhail (@AlsuhailFaris)
Here are my lines for Day 2! #30DayMapChallenge @tjukanov
By Garret Merle (@gmsooner)
#30DayMapChallenge Day 13 - Tracks #Hurricanes tracks (cat. 5 in yellow)
By Gaëlle (@Gaelle_Sutton)
#30DayMapChallenge 3x1 Day 4 #Yellow Day 9 #Hexagons 🛑 and Day 15 #names 🇻🇦 Number of cities or towns with "Holy names" in #Colombia 🇨🇴
By Oscar Javier Espejo (@ojespejo)
Day 19: Urban Beneath us lies a parallel network of urban centres. The places in which we congregate after death. Every graveyard, cemetery and crematorium in the UK; points sized by land area. Workings & data: https://t.co/yG6wU0SciI #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Blue Today I’m tired and running out of ideas of cool things to map. Topo lines of Smith Mountain Lake, Virginia rendered with some elevation data in Blender.
By brady (@geo_brady)
#30DayMapChallenge 3. Polygons Quick Voronoi tessellation of Defended Small Towns in Roman Britain Data source: https://t.co/keS09p4YfU
By Joseph Lewis (@josephlewis1992)
@tjukanov #30DayMapChallenge Day 25-Climate #ExtremeWeather https://t.co/hFpzzYhHMv using #fme @SafeSoftware @qgis
By SRG (@Saint_GIS)
Had to get a jump on Monday's #30DayMapChallenge since it's going to be a cray cray day. Did something I've always wanted to do: 🗺out my fav place on 🌎, Mount Desert Island/Acadia National Park w/#rstats {sf} {ggplot2} Code 🔗will be same as before once I shrink some files.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Found this interesting tool whilst experimenting for map 11 of #30DayMapChallenge, QGIS2threejs allows 3D quick visualisation of data from QGIS. Here is the Langdales to Scafell Pike visualised in 3D! #Elevation #Langdale #LakeDistrict Data: OS 5m DEM
By Ewan McLaughlin (@EwanMcLaughlin6)
#30DayMapChallenge Day 22: Built Environment. Buildings of Buffalo. This ends up being the opposite of the street grid but since they a related you see similar patterns. Note, as with the street names I also included Fort Erie, Ontario for a point of reference.
By Craig Williams (@williamscraigm)
Day 4 of the #30DayMapChallenge : Hexagons…Impacts of flooding on traffic from Hurricane Harvey in 2017 #IMNOS
By Patrick Nelson (@pnelson917)
Day 29 of the #30DayMapChallenge - Experimental Here at Geomni we have begun experimenting with automatic extraction of roof details from our aerial imagery using AI and machine learning techniques. The process can provide us with information such as roof height and pitch.
By GeomniUK (@GeomniUK)
#30DayMapChallenge Day 29: Experimental 🧪 Every #dataviz I produce stems from experimenting - this old concept looked at optimising journeys around London to avoid population hot spots. The population heatmap change is fabricated for testing purposes. #maps #3d #animation
By Craig Taylor (@CraigTaylorGIS)
On day 5 of #30DayMapChallenge (raster), time constraints are forcing me to resubmit an old favorite. Image: @djsantero Data: https://t.co/LrorArmnjQ Tools: Illustrator, Photoshop
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge 21. Environment Environmental restricted areas in France Made with #QGIS
By Romain Lx (@lacxrx)
A day late... #30DayMapChallenge Day 26: Hyrdology - Surface Water - Scotland #opensource #surfacewater #osopen #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge day 16: places. Wikipedian tuntemat Suomen muinaislinnat sekä @Maanmittaus paikannimirekisterin kohoumat ja kohoumaryhmät, joiden nimessä esiintyy sana "linna". #arkeologia #historia
By Teemu Saloriutta (@TeemuSaloriutta)
#30DayMapChallenge 7. Red Red, red, map 🎶 We plotted three different 'red' data sets, because why not? 1️⃣% votes on 'red parties' (SP + PvdA) during the general elections of '17 2️⃣# of spotted (red) crawfish 3️⃣locations of (red) wineries Interactive 👉🏻https://t.co/Pj3oQKSJKb
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge Day 7 - Red: #Religions of #Romania visualized on an #RGB #colorwheel (kind of cheating, since this is a #throwback to an old work) made purely in #D3js @d3js_org #dataviz
By Dénes Csala (@csaladenes)
Experimental. Hyper-realistic fluid simulation scenario, featuring Santa Claus (disguised as a red ball) doing a high-velocity anti-Black Friday belly-flop to Kilpisjärvi. Data: @Maanmittaus #30DayMapChallenge #saana #kilpisjärvi #fluidsimulation #b3d #blender #santaclaus #joulu
By Faris Alsuhail (@AlsuhailFaris)
@tjukanov #30DayMapChallenge Day 23-Population @ppyramidnet Top 25 #Countries by population #2018 visualization using @googleearth generated using #fme @SafeSoftware
By SRG (@Saint_GIS)
#30DayMapChallenge Day 6 "Blue" In celebration of the start of college basketball season, I mapped all 'Blue' NCAA D-1 Basketball programs using #rstats packages: #ggplot, #sf, #ggmap, and #ggrepel
By R.Richard (@rorich)
#30DayMapChallenge Day 12: Movement Time zones of the world. Model made in Blender. #gis #geographyteacher #geography #maps #map #blender #cartography
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge 17. Zones: Icochrones - how far can you travel by car in 2h from Tallinn city center
By Evelyn (@evelynuuemaa)
#30DayMapChallenge #Ireland is the greenest place I have ever seen, so it was perfect for todays challenge. All the data here is from Natural Earth or SRTM. Made in #Photoshop
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 24. Statistics: Service areas for public libraries & population living in the service areas 📕 The smallest service area by population has only 116 people and almost 90% of Estonian population lives within 11km of a public library 🤓 Data from @eestistatistika
By Evelyn (@evelynuuemaa)
#30DayMapChallenge Day 12 Movement. Trips inside the metropolitan zone of Mexico City during a laboral day.
By jlOlarteQ (@jlOlarteQ)
Jour 26 du #30DayMapChallenge et après une longue pause me revoilà pour l'« hydrologie ». Je vous propose donc cette carte des fleuves (avec leurs affluents principaux), et les niveaux de bathymétrie. ET OUI, EN VERT, PARCE QUE POURQUOI PAS.
By Pierre Breteau (@pierrebrt)
Today for #30DayMapChallenge - I've made a map to show zones with good restaurant coverage on @openstreetmap - Darker the shade, better the number. A total of 12,177 restaurants on OSM, compared to 19K on @ZomatoIN - this is a decent coverage
By Ramya Ragupathy (@ramya_ragupathy)
An attempt to illustrate the disproportionate heating of the Arctic. #30DayMapChallenge, Day 11 - Elevation. 🏔️ #Map
By Greg Fiske (@g_fiske)
#30DayMapChallenge Day 6: Blue - A map made as a leaving present for @dcfrankland #bluemountains #opensource @thinkWhere1 #QGIS #osopen #openstreetmap #gischat #geography #cartography #makemapsart
By Kirsten Reilly (@_penguin_runner)
If you don't want to read the blog My Day 01 - Points #30DayMapChallenge main map, LS (Leeds) Postcode as Points, Leeds City Region Boundary (Black) Leeds Travel to Work Boundary (Blue)...
By AndrewBoltonBPDTS (@ABpdts)
#30DayMapChallenge - Day8 #green
By Surface Libre (@surfacelibre)
#30DayMapChallenge Day 27: Resources. One of the most precious resources is clean air. Luckily, concentration levels of nitrogen dioxide in #Helsinki haven't increased. Data: Helsinki Region Environmental Services Authority. Code: https://t.co/etVEr96alA #rstats #sf #ggspatial
By Tuija Sonkkila (@ttso) in Finland
Day twelve of the #30DayMapChallenge (movement)... Animation of the 2020 #MLB Travel Schedule
By Daren Willman (@darenw)
#30DayMapChallenge 6: zils. Uzblīdis Lubāna ezers pirms diviem gadiem plūdos.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge 19. Urban - “Chalk” map of NYC (cheating again using existing map)
By Shannon Gonzales (@yavannie24)
Running possibilities in winter evenings #30DayMapChallenge
By emil (@57x025)
#30DayMapChallenge 6: Blue - as in Red-flanked bluetail, Finnish Breeding Bird Atlas (1986–89) #leaflet #rstats #shiny application https://t.co/U6CpY6dpl3 More at https://t.co/iwXN09LJDX
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge 8. Green 🇳🇱 is famous for two 'green' products: Heineken & weed! How green is the country if we plot the market share of Heineken in bars and the # of coffeeshops, based on data from Greenmeister. Interactive version 👉🏻https://t.co/rH29U1yQc8
By LocalFocus (@LocalFocusNL)
4. Hexagon #30DayMapChallenge Hexagon grid showing the density of earthquakes all over the Philippines from October 1-31, 2019. Notice the dense earthquake swarm in Cotobato region (red). #Mindanao #MindanaoQuake #gischat #geography #cartography #dataviz https://t.co/kC14GHaTTg
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
#30DayMapChallenge day 13: Belgians and their train #tracks
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge. Day 1-st Biggest urban areas in the world in 2050
By Denis Krivoguz (@pony_mapper)
You have probably been wondering about the density of camping sites in Norway. Look no further! :D #30DayMapChallenge Day 4: Hexagons
By Jon Olav H. Eikenes (@jonolave)
My submission for #30DayMapChallenge Day 3 - Polygons Uninsured (i.e. no health insurance) rates for #Delaware. Polygons are #census block groups, smaller than tracts. I'd like to do a lot more with combining multiple socioeconomic factors at the most granular level available.
By Philip Pierdomenico (@PhilPierdo)
For todays #30DayMapChallenge (Boundaries) I made a GIF of 500 years of #Frankish empires. This Germanic group not only gave #France its name but also led to #Charlemagne, the Holy Roman Empire, and Western Europe as we know it today. Data from here: https://t.co/uD6nwi8Jbm
By Carl Churchill (@Cchurchili)
#30daymapchallenge day #11 (Elevation). Made with #rstats.
By Philippe Massicotte (@philmassicotte)
@f_l_o_u_r_i_s_h #30DayMapChallenge nr 4 (hexagons): Allied bombings over Europe and North Africa by month https://t.co/Rxq7W35yiD #datagif Made with #Rstats/#ggplot2
By Maarten Lambrechts (@maartenzam)
Day 11 of #30DayMapChallenge (elevation): "The ups and downs and the Baltic Sea" #elevation #dem #bathymetry #maps #balticsea #dataviz
By Positium (@positium)
A rainbow map for Day 1 points #30DayMapChallenge ! :D The most sighted bird in Sydney & NSW is the Aussie Rainbow Lorikeet.
By Kylie Wilson (@_kyliejane)
#30DayMapChallenge Day 22: Built Environment Estimated* age of construction of buildings in Santiago / Año estimado* de construccion de edificaciones en Santiago Data from @SII_Chile
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge 23. Population ✅Breakdown of the population of Rennes at the scale of the buildings / Made with #ArcgisPRO #ModeBuilder 😁 Population>IRIS @InseeFr / Buildings>BDTOPO @IGNFrance cc @Stan_Esri @Gaetan_LAVENU @Esri_France
By Boris Mericskay (@BorisMericskay)
Ya sé que voy bien tarde para el #30DayMapChallenge, pero ahí va el primero: 1. PUNTOS. Es un mapa sobre los incendios en Baja California los últimos días de octubre.
By Manuel Toral (@jmtoralc)
#30DayMapChallenge DAY11 #elevation
By PJ #GISTonicker (@pj_go_2020)
Queens Quarter @QUBelfast #Belfast Aerial LiDAR - Digital Surface Model (DSM) @opendatani #RASTER (grid) data visualisation using #Aerialod #30DayMapChallenge #GeoVis #Geomatics
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
#30DayMapChallenge Day 🔟 Black and white: All highways in Milan, Italy 🇮🇹 extracted from @openstreetmap (highway=*). Designed with @qgis. OSM folks, do you remember where #sotm2018 took place? @WikimediaItalia @polimi @GEOlab_polimi @ComuneMI @sotm
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 16. Places The lyrics to a favorite song in the shape of Kansas. In this arrangement, "place" mostly falls along the border of Kearny & Wichita Counties.
By Travis White (@visualvariable)
#30DayMapChallenge 19. Urban Functional Urban Areas in France Made with #QGIS
By Romain Lx (@lacxrx)
💙 #30DayMapChallenge 6. Blue : How to better see that our planet is blue? ➡ The Spilhaus World Ocean Map in a Square https://t.co/qIpWy8nvBv #StoryMaps by @BojanSavric David Burrows, Melita Kennedy and the maps of @John_M_Nelson
By Raynald GARNIER (@raynald_garnier)
Bicycle accidents in Helsinki, 2017. As POINTS! Of different COLOURS! #30DayMapChallenge #points Data: @HelsinkiKymp
By Faris Alsuhail (@AlsuhailFaris)
@Syracuse1848 #30DayMapChallenge Day 2: Lines NYS Map of railroads, colored by rail class Data: https://t.co/XMdsSQp5xK Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Day 29 : Experimental - Reconstitution par un collègue des périmètres des bureaux de vote à partir de leur description par la préfecture du Nord @prefet59. @Place_Beauvau , la diffusion des périmètres ou des adresses par bureau est-elle envisagée ?
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge jour 3 : aujourd'hui il nous faut des polygones. Je vous propose cette carte des écarts de températures à la normale en février 2019 en France métropolitaine (avec de la triangulation de Delaunay dedans).
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge Day 1: Points Crashes and accidents on New Zealand, roads recorded by the NZ Police. Data: NZTA, made with QGIS.
By Hamish Campbell (@polemic)
#30DayMapChallenge 18 - Globe: An orthographic projection #map I made a few years ago based on @underdarkGIS @PetersonGIS tutorial; centered on #Philadelphia and its antipode. Data from Natural Earth, made in #QGIS 2.x
By Philip Pierdomenico (@PhilPierdo)
My inspiration was environment, but I'll actually count this as Day 8 - "green" #30DayMapChallenge #QGIS
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
Day 17:Zones #30DayMapChallenge Earthquake zones of NZ as per Building Standard NZS 3604:2011 Timber-framed buildings (source BRANZ) together with epicentres of earthquakes magnitude 5 and up between 1979-11-1 and 2019-11-1 (source Geonet)
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge 23. Population: Estonian population per square km during the day and night (estimation) ☀️According to the @eestistatistika estimation approx 109 000 people commute to the cities over the day 🚗🚃🏬 The total population of Estonia is only 1.3 million people
By Evelyn (@evelynuuemaa)
Me encontré con unos datos abiertos de operaciones de vuelos regulares nacionales del 2015. Los trasladé a un mapa para ver la cantidad de pasajeros que llegaron a los aeropuertos de la Península de Yucatán (radico en Mérida) para el #30daymapchallenge día 13. Aquí el resultado.
By Adalberto Manzanilla (@adalMC)
My submission for #30DayMapChallenge Day 1 - points @RideIndego bike share station Q3 checkouts in #Philadelphia (cc #bikephl) CSV data from @opendataphilly ; Map produced in #QGIS 3.8 h/t to @geomenke for teaching me how to import a CSV with lat/longs 😀
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Day 3 : Polygons - Nombre de ventes de maisons et appartements dans les métropole, CU et CA du Nord, 2014-2018 #RStats #Nord #OpenData https://t.co/lT501SCSue
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge Day 4 - Hexagon. Hexabinned Chicago Crime points in 2019. Used #Qgis Centroid Hexagon marker and Symbology Expression for the size of centroid points in Hexagon Polygons.
By Abdishakur (@shakasom)
#30DayMapChallenge Day 10: Black and white. Cropped part of a large B/W map of Stockholm archipelago. Line art in Photoshop.
By topografen (@topografen)
Africa. Using data from @gebcobathymetry. #30DayMapChallenge Day 5: raster
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Day 14: Names Secondary schools in Estonia. 95% of our staff in Positium's Estonian office graduated from one of these.
By Positium (@positium)
For day 7 of the #30DayMapChallenge the subject is red, so for all my friends and relatives in the NSW Rural fire brigade is a map of the NSW bush fires. I don't normally put a scale on this sort of map but here it really helps to see those plumes are 300+km long.
By Ian Turton (@ijturton)
Day 2 – Lines Weekend maps will go up on the wrong date This Australian flight data makes me use a different perspective which I like. Equidistant Conic Projection centred near Timor Sea, Esri Firefly basemap. #30DayMapChallenge #ArcGISPro #WomenInGeospatial #Cartography #GIS
By Allison Cully (@AllisonCully) in Canada
Day 9 of the #30DayMapChallenge - #Yellow Yellow is the colour of the airside markings at @STN_Airport that we mapped out using a high-resolution imagery database. The database was used by Stansted for maintenance and the markings themselves are used for navigation of aircraft.
By GeomniUK (@GeomniUK)
Day 2: lines #30DayMapChallenge
By Keith Jenkins (@kgjenkins)
Belated #30DayMapChallenge 3 | Polygons Counties scaled to winning margin in the 2016 election—like the 1.7 million votes Clinton won by in Los Angeles (quick and dirty take on an @karim_douieb animation in #rstats using gganimate https://t.co/7H8QkOEo60)
By Andrew Renninger (@AndrewRenninger)
#30DayMapChallenge DAY15 #names & #hashtag
By PJ #GISTonicker (@pj_go_2020)
[EN] "Root" #Switzerland is where all admins live - https://t.co/TQ3Mt9WhDR everyone has a root account #funny #30DayMapChallenge
By geo.admin.ch (@swiss_geoportal)
Day 15: Names Here’s every place in NRCAN's Geographical Names Database containing words like Bear, Grizzly or French equivalents. The background bear is filled with these names. Point style roughly stolen from @John_M_Nelson firefly magic #30DayMapChallenge #WomenInGeospatial
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge 6. Blue Today i checked data from https://t.co/DAAtryoQVf There are few countries that have detailed GIS data. Wind power density 🍃🌪️in Rwanda 🇷🇼and Madagascar🇲🇬 #dataviz #data #maps #ggplot #rstats #renewable #GIS #Rwanda #Madagascar #wind #SDG7 #Africa
By Olga Kononykhina (@bettermeasured)
Day 3 of #30DayMapChallenge - Polygons! #indianapolis #urban #green #blue #gray https://t.co/Fy18QxsOxv
By Garret Merle (@gmsooner)
#30DayMapChallenge I am giving myself some extra limitations. Each map will be only inside a 5 x 5 square, and each week I will use a different software. For today, enjoy this map about trade in Late Antiquity from #ArcGISPro. The Dark Ages might not be so dark after all.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 12: Movement This Map Is Not What It Seems – I’m at #FOSS4G_SotM_Oceania for the next couple of days, so I’m breaking theme with this preview from my lightening talk on Geometry Generators tomorrow!
By Hamish Campbell (@polemic)
#30DayMapChallenge nr. 10, zwart-wit..... er was al in 2017 een passend onderwerp voor. En in Rhenen is er sinds die tijd nog geen uitbreiding geweest.
By Bart Broex (@bbroex)
#30daymapchallenge playing catch up after the weekend. Here's day 2, theme - lines. Showing all the main rivers throughout the Peak District, data from Defra and OS
By Kate Amanda Booth (@Kate_GIS)
På den 12. dagen er temaet bevegelse. Kartet viser min egen bevegelse rundt om i Europa de siste 10 årene #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge 7/30 Red. Fifty shades of red. 🎶Vandaag is rooooood 🎶 @borsato Made by @BNiene - Made with @Mapbox #MapboxGLjs #creativecarto
By cartiqo (@cartiqomaps)
@qgis @TlseMetropole @IGNFrance @Mapbox @opendataParis My little contribution to the #30DayMapChallenge Day 10 - Black & White Toulouse - La ville Rose made with @qgis & @OSM_FR
By Tony Hauck (@Bill_Bluray)
#30DayMapChallenge Day 8: Green. Area of Grüner Veltliner (Green Veltliner) wine grapes in Austria #STATatlas @STATISTIK_AT https://t.co/TqkitOXLEy
By g.katz (@knozi1)
For #30DayMapChallenge day 18-globe I went with the world's most popular sport with an estimated 4 billion fans. Confederation by country in a printable football projection. Feel free to print, wrap, and play.
By Kyle W. Smith (@kwsSanDiego)
#30DayMapChallenge LINES Flow direction #Bani basin at Beneny Kegny (#Mali, Côte d’Ivoire, Burkina Faso). Resolution 0.25 deg. https://t.co/fSC08sUIUP
By Vitali Díaz (@Vitali_DiMe)
#30DayMapChallenge Day 5, raster. Earthquake frequency map when red(1) - rare and blue(10) - very frequency. Data from https://t.co/0zDlBvQkF4
By Александр Зуев (@Zuev34W)
Day 25 of #30DayMapChallenge - Climate: Montreal’s Green alleyways. The map shows progression of #ruellesvertes in @LePMR and @Arr_RosemontPP boroughs. Open data from Regroupement des éco-quartiers, cleaned and mapped by INTERACT's Zoé Poirier Stephens.
By INTERACT (@TeamInteractCA)
#30DayMapChallenge 3. Polygons Once again the same CAP data, this time represented as a bivariate map crossing by 𝑐𝑜𝑚𝑚𝑢𝑛𝑒 the crop diversity with the mean plot size Design inspired by a @PostGraphics map #MadewithQGIS
By Romain Lx (@lacxrx)
Day 13 tracks #30dayMapChallenge is a mess. I had grand plans of making a lovely walking tracks of Sydney map but omg the data. I had to give up else I'd be here until next November 😂 (This is one I want to do properly when I've more time).
By Kylie Wilson (@_kyliejane)
#30DayMapChallenge Day 13: Tracks: Railroads in the Continental United States.
By Craig Williams (@williamscraigm)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb @Datawrapper #30DayMapChallenge nr 30 (home): A map I've been wanting to make for a long time. Places I've called home throughout my life (circles) seemed connected to the river Demer (blue) and the E314 highway (pink). Looking at the map now, they definitely are
By Maarten Lambrechts (@maartenzam)
Day 28: Funny “Funny” or “Geographer-funny”? I’m really not qualified to say. All the firefly stuff from @John_M_Nelson
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Jour10: Black & White. Cartographie non-exhaustive du recours au viol comme arme de guerre aux 20e et 21e siècles, réalisée en 2016.
By Marlène Dorgny (@MarleneDorgny)
I probably can't make maps for all of #30DayMapChallenge, but here's one for day 2: Lines. City bike trips in Bergen in october 2019. Base map: OpenStreetMap, CARTO. Data: Bergen Bysykkel
By Halvard Vegum (@Havegum)
The shapes we run. #30DayMapChallenge Day 13: Tracks
By Ariel Kadouri (@akadouri)
Day 2 of #30DayMapChallenge - Lines Budapest's roads #ArcGIS #Tableau
By Kovács Ivett (@IvettAlexa)
Samedi 9 novembre, le #30DayMapChallenge propose comme thème le « jaune » : voilà donc un carte du peuplement kurde du Proche-Orient… en jaune. ✌️
By Pierre Breteau (@pierrebrt)
Day 14: Boundaries Apologies if I have made any offensive errors in this map. I chose an area of confusing boundaries and wound up more confused than expected. Will definitely need to revisit this down the road. #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 4: Hexagons Citibike trip data binned into hex pillars by finish position and pivoted into hourly blocks by stop time for New York. Data via: https://t.co/OFuEtfnixP #map #3d #dataviz #nyc
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Urbanization puts huge pressure on nearby forests. In #Zambia, logging and clearing for agriculture damages the forests that surround the nations growing capital Lusaka. #Mapbox #Photoshop #Africa
By Carl Churchill (@Cchurchili)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck #30DayMapChallenge nr 12 (movement): how far can I get in 1 hour by car, by public transport and by bike? Very easy to make with @igeolise https://t.co/wI4KcThwek
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge 13. diena, izsekošana. Suņa un cilvēka pastaiga.
By Kristīne (@kriksine)
Day 25 of #30DayMapChallenge: Climate. Valais, Switzerland, during the Last Glacial Maximum. Interactive visualization: https://t.co/Jqbnadx8aS More background and additional scenes: https://t.co/NGra1KpeUz
By Ralph Straumann (@rastrau)
#30DayMapChallenge Day 9: Yellow Some yellow at least. Rural roads are number based on distance along the road leading to 85,696 the largest address. Inspired by @SchalkValentin layout from day 7 and turns out it was the colours on yet another map of yours I had saved @Cchurchili
By Pete King (@Generally_Geo)
#30DayMapChallenge nr. 4, iets met zeshoeken. Een vrije interpretatie van het CBS-buurtregister deze keer, hoe ziet Maastricht er in hexagonale buurten uit?
By Bart Broex (@bbroex)
Continuing with the eBird data analysis for today's #30DayMapChallenge (zones). Here's zones of species diversity in Athens. Playing around with drop shadow in @qgis for this one, analysis in #rstats.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge Day 5: Raster Repurposed the data from yesterday. Here's Chicago's wealth "terrain"--the high points represent a greater rate of higher income households. Done with #qgis 3D tool and OSM overlay. Not the cleanest, but certainly tells the story.
By Jerry Shannon (@jerry_shannon)
For #30DayMapChallenge post 2 on day 6 (cuz 30 just won't happen), I downloaded @EPA's #airquality sensor locations which looks kind of impressive at first, but it's not hard to find huge gaps in heterogeneous urban environments & state-sized holes in the middle of the country
By Phil Bresnahan (@insituphile)
#30DayMapChallenge 16. Places Every november Sinterklaas enters 🇳🇱with his steamboat. Which places did he visit since 1952? (Only the 'official' Sint, the whone who is broadcasted, is counted. Sorry to all the 'hulpSints' 😉) Interactive (+ videos!) 👉🏻https://t.co/4UniMMFmIb
By LocalFocus (@LocalFocusNL)
#LaPulla, #21N, A propósito del tema #30daymapchallenge day 15 cronología de los líderes en las cabeceras municipales asesinados desde 2018, según el informe de “Violaciones a los Derechos Humanos en Tiempos de Paz” publicado por @indepaz, en cooperación con @ddiazescandon.
By Javier (@7Javier6)
Day 23 of the #30DayMapChallenge : Population…Populations density data overlaid with the world at night. 23 Days in, having to recycle a few layers utilization here and there. #IMNOS
By Patrick Nelson (@pnelson917)
Fragment of the Ros river basin. #30DayMapChallenge Day 29: Experimental Data: Alaska Satellite Facility, #OpenStreetMap contributors
By gontsa (@gontsa)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala 15. Names #30DayMapChallenge The 100 most common names in Mexico. Map made with the help of @zoeperegrina #Map #names #mexico #juan #jose #maria #guadalupe
By D. (@daniel_isita)
Day 11/12: Movement and tracks. Routes taken by forestry trucks delivering to our clients (00 - 24 h, one sunny August day) #GPS #RoadNetwork #30DayMapChallenge #lvmgeo
By LVM GEO (@lvmgeo)
#30DayMapChallenge Day 24 : Statistics - Abstentions aux élections présidentielles et législatives de 2017 dans le Nord #Nord #RStats #OpenData https://t.co/GrUAdazrFO
By Cécile Rodrigues (@Grisoudre)
Blue. We have this party called Sininen tulevaisuus (Blue Future) and here's how they did in the latest parliamentary elections. Data: @Tilastokeskus #30DayMapChallenge #vaalit #eduskuntavaalit #blue
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge krāsainākiem rudens vakariem. Pamazām jāiedzen. Jau 9. diena. Dzeltens. Kas ir dzeltenāks par rapsi?
By Zane (@atdodkonfektes) in Zane Atstāja
Day 22 (built environment): All buildings in the city of Murcia (Spain), colored according to the year of construction. The map is centered around Plaza Circular, one of the main squares of the city #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 5: Raster Modal flag colours. Each country is a raster grid cell, coloured by most common pixel colour of its continent's flags. With more time, I would have coloured countries individually. Workings & data: https://t.co/35aDP3jEJl… #30DayMapChallenge
By Jo Wood (@jwoLondon)
@Syracuse1848 #30DayMapChallenge 8: Green Parks in Syracuse Data: https://t.co/pHAPsUz1fC Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Day 7: Red I wanted to try and turn the cleantopo2 into Mars, found @Cchurchili amazing map layouts and could help but be inspired
By Pete King (@Generally_Geo)
Day30 #home #TheEnd of #30DayMapChallenge THX to @tjukanov THX di #like #heart #followers #gistips THX to @qgis @LeafletJS @postgis @WordPress for all my small works @gis_tonic #Milano
By PJ #GISTonicker (@pj_go_2020)
We have over 11,000 raster scans of our historic map collections in our digital collections portal, so choosing a map for Day 5 of #30DayMapChallenge was a hard task. Here's a zoom in on a tiny section of a map of North America as a reminder that every map scan is made of pixels!
By Leventhal Map & Education Center at the BPL (@bplmaps)
Day 8 of #30DayMapChallenge. Green map showing the tree cover over the savanna zone of Ghana. @geospatialwomen
By AB Ansah (@Ms_Pixels)
#30DayMapChallenge Day 4 Hexagons (I'm not keeping up with this challenge at all!!!) Anyway I thought I'd get some title memorial data out there from @LINZLDS
By Ian Harrison (@Kaihopu)
#30DayMapChallenge Map_24. El meu projecte Final de carrera @ETSEA_UdL a l'any 1993 va ser Climatologia de l'Evapotranspiració de referencia a escala regional. #Aigua #Agua #Reg #Riego.
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 11: Elevation: Hand drawing mountains with chalk and pencil. LOL, Nah, I re-purposed @nicolaraluk's excellent "Sketch the city" for mountains with Mount Hood and Matterhorn examples. See https://t.co/tjtEvXouuV
By Craig Williams (@williamscraigm)
Dia 1: Punts. Aprofitant dades del meu TFG sobre Atletisme i que està de "moda" fer mapes foscos. Day 1: Points. Running tracks in Catalonia and approval status(?). #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
Day 9: Yellow Yellow fever is a vaccine preventable disease that also has a surprising gender disparity. Data from the WHO. Yellow monochrome is hard, this map gets filed under learning experience. #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
OK here's take 2 for the #30DayMapChallenge day 21 environment this time wholly constructed in #QGIS.
By Ian Turton (@ijturton)
Raster relief data from https://t.co/ZNrOJoNvJq for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Day 15 #Names 😅 The name "Carmen" in Mexico City #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Día 2-Lineas Vías de Colombia/ Roads in Colombia. Mapa realizado con la librería tmap() de #R #rstats #rsatsEs #DatosDeMiércoles #GIS #neonMap #mapadecolombia #visualizaciondedatos #dataviz #colomviza
By Edwin Mendivil Barceló (@vizualdatos)
#30DayMapChallenge 15. Names This map is devoted to confused 🇩🇪#Berlin tourists, missed dates and appointments. hard way to learn that zip codes are as important as street names😤😂 Inspired by a data story from https://t.co/hZQi7BfQ5g #dataviz #maps #ggplot #rstats #Germany
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 19: #Urban areas in Africa. Bigger the symbol, bigger the population. Data from Africapolis (@SWAC_OECD): https://t.co/ZYFtmxLNkb
By Topi Tjukanov (@tjukanov) in Finland
Day 11: Elevation Here’s a look along the Rocky Mountain trench using only the @LivingAtlas global terrain layers in #ArcGISPro. It leaves me with questions about the placement of that provincial boundary. #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 9⃣ Yellow: Today's Zaragoza map comes from our "Is OSM up-to-date?" webapp (https://t.co/fF63FjwI0K) which displays @openstreetmap nodes/ways according to quality-related parameters. Yellow means that the ways have been updated very recently. Try it out!
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 22. Built environment. I was supposed to give you a nice 3Dgif with buildings from Helsinki CityGML. BUT. I had an aquarium accident today and a 🌊. So here is just a bunny I found from Turku. District Mälikkälä. Data: Topographic database @Maanmittaus
By Sanna Jokela (@SannaJokela1)
Day 19 theme of the #30DayMapChallenge is Urban. I have done a quick render of Birmingham to show the new Index of Multiple Deprivation. Put together in #qgis and a bit of #b3d, with data clipped using @OrdnanceSurvey #zoomstack buildings.
By Sam J (@samwise_v)
Day 24 of the #30DayMapChallenge Statistics 📊 - "Geographic center points ✴️ of the European Vote 🇪🇺" I calculated the weighted mean point of: 🗳️ All valid votes 💼 Each political group in the @Europarl_EN 👻 All votes that aren't represented in Parliament
By Arnold Platon (@Arnold_Platon)
#30DayMapChallenge. Jour2: lines Tournée 2019 des Dandy Warhols pour leurs 25 ans de carrière
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge Day 16 - Places. Not much time today so just a re-post of previous project, but this is all the gig places and bands that I have been to see over the years https://t.co/uNCu7U4GEq
By Sam J (@samwise_v)
Arboj de Parizo #Esperanto #30DayMapChallenge Tago 8 : Green (pli malpli) aŭ Tago 21 : Environment
By Reĝa Ardeo (@RegxaArdeo)
A day late... #30DayMapChallenge Day 24: Statistics - Percentage of 18-30 year olds in and around Manchester (2011) #opensource #census2011 #manchester #naturalbreaksjenks #osopen #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
Day 15 of #30DayMapChallenge – Names: Watercourse Names in New Zealand
By Andrew Tyrrell (@SouthArrowMaps)
For #30DayMapChallenge Zones, I couldn't resist a bad #map of the Zone Improvement Plan (ZIP) Codes, IMHO the worst way to show data. This is ZIPs in southeast PA with municipal & county boundaries & all ZIPs intersecting. Thx to @CARTO for the great article about them..
By Philip Pierdomenico (@PhilPierdo)
Also had to get ahead of Tuesday's #30DayMapChallenge due to time constraints. Here's Day 12 "movement" showing worker outflows from Maine counties to non-Maine counties based on ACS 2011-2015 5-Year commuting study. #rstats {sf} {ggplot2} Code: https://t.co/vNG5NE2Afn (et al)
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
for #30daymapchallenge day 16 places. our @geolytix central london suburbs.
By GEOLYTIX (@Geolytix)
#30DayMapChallenge Day 30: Home The last map!! Último mapa!! Fiscal appraisal for homes (USD/M2) in Santiago / Avalúo fiscal para viviendas (USD/M2) (ya que no tengo valor comercial, pero la tendencia debería ser muy similar) Data from: @SII_Chile
By Juanizio Correa Parra (@Juanizio_C)
Diving into #30DayMapChallenge with Day 14: boundaries. #rstats / #gganimate help us see what @Stats_NZ's changed small area boundaries mean for Carterton District
By David Friggens (@dakvid / suǝbbıɹɟ pıʌɐp) in New Zealand
#30DayMapChallenge Dia 24. Estadísticas. Tasas varias a nivel (ámbito) estatal. #rstats Parte de mi trabajo en el @LNPP_MX. 😊
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 17: Zones. Have you ever heard of the 100-mile border zone in the US? It's an area where US Customs and Border Patrol can perform searches for "reasonable suspicion" of immigration violations or crimes.
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 6 - Blue Very quick entry. I will probably revisit it, as I forgot to add the Canary Islands in the cartogram computation🤫 Besides that, I managed to do a cartogram! Yay! So happy. The map shows Spanish regions by size of its population.
By Irene de la Torre (@inari_ta)
#30daymapchallenge day #12 (Movement).
By Philippe Massicotte (@philmassicotte)
Day 8 Green : map of a convenience store, Family Mart, data source from OpenStreetMap contributors. ファミリーマートの分布図。公式HPには2019年9月末時点で16,499店舗あるとのこと。OSMには3,404店舗登録されているので、OSM登録率は21% #30DayMapChallenge
By mits miyake (@mmits003)
#30DayMapChallenge día 13. Presento la red carretera del país con los talleres, vulcanizadoras, reaccionarias, gasolineras y demás servicios para vehículos a 100 metros de las carreteras federales. Gracias al DENUE y la Red Nacional de Caminos publicadas por el @INEGI_INFORMA
By Adalberto Manzanilla (@adalMC)
Day-18 of #30DayMapChallenge is globe so here is a version of yesterday's climate zones in a more "globe" like projection. I found a vector version of the data as #QGIS is still giving me grief about reprojecting rasters to odd projections.
By Ian Turton (@ijturton)
There Are No Streets in Crawley - Day 15 of the #30DayMapChallenge is 'name'. So I continued my fruitless search for post-1800 roads named 'Street' in the UK. https://t.co/HVLdhLbgav
By gmapsmania (@gmapsmania)
#30DayMapChallenge Day 8 : Green - Espaces verts à Lille #RStats #Lille #OpenData https://t.co/xt5874xiDM
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge and today is yellow and an excuse to have another play with #Aerialod and some #usgs data.
By Sam J (@samwise_v)
#30DayMapChallenge day 6 theme is blue. This one didn't turn out quite as blue as I expected, and bit of a rushed effort in the end, but a reminder at this time of year for us to all keep warm and think of your neighbours!
By Sam J (@samwise_v)
The theme “tracks” of the #30daymapchallenge immediately made me think of railroad tracks, so here’s a map of the most iconic one in the world, the Trans-Siberian Railroad! #cartography #maps #lovemaps
By One Stop Map (@onestopmap)
#30DayMapChallenge 26. Hydrology Topographic Wetness Index Vinsobres plateau (France) Made with #QGIS
By Romain Lx (@lacxrx)
Je découvre aujourd'hui le #30DayMapChallenge. Pour ce 1er jour : un jeu de données trouvé à la va-vite et #Khartis que j'utilise pour la 2e fois. J'espère tenir sur la durée, et faire des représentations plus pertinentes par la suite ! https://t.co/vwKlyFjuQm
By Marlène Dorgny (@MarleneDorgny)
South African power plants disaggregated by fuel type. No prizes for guessing where Jo'burg is. #30DayMapChallenge
By Ayrton Bourn (@AyrtonBourn)
@qgis #30DayMapChallenge Day 3 Polygons 🌍🌏🛰️ Shapes, areas and cartographic projections. An example from #landsat image footprints using @qgis #gischat #geography #cartography #dataviz
By Diego Pajarito G. (@diegopajarito)
#30DayMapChallenge Jour 6 : Bleu Mouillages hors port de Charente Maritime ⛴️⚓️ Avec des mouillages de 0 capacité d'accueil -> toujours étonnant ce qu'on peut trouver dans une donnée a priori simple, mais qu'on ne connaît pas 🧐. Merci @datagouvfr 👍 Outil : @qgis
By Aurelien Chaumet (@AurelienChaumet) in France
The last day of the #30DayMapChallenge (home): All the places I've called home. It was a lot of fun making all these maps. But also useful, exploring new datasets for future research. Most maps were made with #rstats and #ggplot2. Thanks to @tjukanov and all the participants!
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day29 Experimental. Applying geographical information: looking for the better areas for agricultural activities, considering the slope of the terrain and the type of soil.
By jlOlarteQ (@jlOlarteQ)
#30DayMapChallenge day 3: polygons. This time something very useful.😉 Find your nearest bell tower with this voronoi diagram. Data once again from @Maanmittaus open services.
By Teemu Saloriutta (@TeemuSaloriutta)
Day 6 of #30DayMapChallenge, theme blue. Channels at the Venice.
By Александр Зуев (@Zuev34W)
Gravity is not a constant. Use of hillshade, slope, gradient to represent gravity as an elevation. Darker regions are lowest values. Interpolation with #SAGAGIS. Hillshade and slope with #GDAL. Visual blended with @qgis. Data from @LINZLDS . #30DayMapChallenge Day 11: Elevation
By XYCarto (@XyCarto)
#30DayMapChallenge Day 8: Green Urban Built-up Areas of Bangkok and Thailand 1990 Made with #qgis Source: GHS-Built #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
#30DayMapChallenge Day 16 : Places - Places de parking vélo à Lille #Lille #RStats #OpenData https://t.co/DDHHoGg4de
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge 1. Points All of the golf courses listed on @openstreetmap Interesting fact: about 80% of them are located in just 10 counties, USA first followed by Japan.
By Karim Douïeb (@karim_douieb)
#30DayMapChallenge day 15.Names. Place names in GB whose names end in '-ton', '-tun' or '-town'. Toponymy using #qgis and OS Open ZoomStack.
By Steven Kay (@stevefaeembra)
#30MapDayChallenge Day3: Hexagons (!) Revisited a #TidyTuesday challenge that I participated in a few weeks ago - here is the remix version using a hex bin map visualizing racial diversity and its change in US schools 🎒 #ggplot2 #rstats #dataviz #map
By Cédric Scherer (@CedScherer)
#Kanyakumari-Dibrugarh Vivek Express is India's longest running #train. It covers ~4250 kms in 83 hours n passes through 8 states! Anim shows scheduled movement of the train. My 2nd map in #30DayMapChallenge @RailMinIndia @IRCTCofficial @PiyushGoyalOffc @PiyushGoyal @rajtoday
By Raj Bhagat Palanichamy (@rajbhagatt)
Eilen avattu #30DayMapChallenge heksagoneilla. Nyt myös tagit kunnossa #asuntotuotanto #rakentaminen #hexagons
By Paavo Kokkonen (@paavokokkonen)
#30DayMapChallenge #QGIS (elevation) Floors per building in Bogotá's city center.
By Felipe Lancheros 🐯 (@MiniTigri)
#30DayMapChallenge Day 25: Climate Temperature spatial distribution, Singapore case
By Alice Caron (@Alice_Caron_)
Day 23: Population Cat and dog density in my home town. I used to be a downtown cat person, now I'm on the outskirts with both! Hope I can catch up before the 30 days is over... #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Water stress measures if avaliable water can meet local needs. I Used data from the World Resources Institute (Aqueduct) to map water stress projections in the future. Climate change + population growth are together pushing many Asian watersheds to the edge.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 10 B&W - using #QGIS, #OSM. Prison stripe colours? Irish prison data! 🧐 Co-location makes some of the labels a bit confused. Sidenote - OSM data for Midlands Prison is VERY detailed, what's the story? Is someone using OA maps to plan jailbreak?
By Maedhbh Nic Lochlainn (@niclochg)
México tiene una gran riqueza natural, que nos hace sentir orgullosos 😎, pero también nos obliga a cuidarla. ¿Sabes cómo protegemos este patrimonio? 💧🌳🌵🏞️🐺🐝🐳🦋 #ÁreasNaturalesProtegidas #ReservasDeAgua #30DayMapChallenge
By AgroDer (@AgroDer)
#30DayMapChallenge 3-Polygons. The Voronoi Island of Sardinia. Made in R (sf) from centroids of census tracts cc @OpendataCorsica @CorsarProject @Sard_opendata @openras
By Andria Tzedda (@Andria_Tzedda)
Vinnytsia Public Transport Abstract Model #30DayMapChallenge Day 12: Movement #OpenStreetMap contributors #qgis
By gontsa (@gontsa)
#30DayMapChallenge Day 11: Elevation Digital Elevation Model of Thailand Made with #qgis Source: USGS SRTM #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #elevation
By Note Dherapat (@prospero021)
#30DayMapChallenge Day 14: Boundaries. Greater Helsinki is still surprisingly non-built, with small lakes here and there. Code: https://t.co/pPexMD8Dhm #ggplot2 #sf
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge Day 24. Climate What are the most polluted municipalities in 🇳🇱, if we look at the amount of nitrogen dioxide in the air? And how could the situation be in 2030? Let's see how these predictions turn out 🔮🤔 Interactive 👉🏻https://t.co/XKNTSW5EKr
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge. Líneas. Curvas de nivel y efecto de relieve sombreado. Valparaíso, Chile. Equidistancia de 25 m. DEM utilizado: Alos Palsar.
By Humberto Iván (@humbertoivanrm)
Day 27 of #30DayMapChallenge: resources. Shelter belts around Rolleston, New Zealand. LINZ data + #Rstats. One of the three map challenges I had missing; two to go! https://t.co/0tNo5Fg7BZ Code: https://t.co/jjIb2P2wqS
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Distribución de elevaciones en #México #CONABIO
By marko gutierrez (@GutierrezyMarco)
#30DayMapChallenge Day 23 : Population - Population de 75 ans et plus dans le nord #Nord #RStats #OpenData tps://github.com/Grisoudre/30DayMapChallenge/edit/master/day23_population
By Cécile Rodrigues (@Grisoudre)
But, since there are physical world mentions, we can also look solely at frequency of visit by geography, first for all mentions then a zoom in to ones around Italy. Code link will be up in a bit. 4/5
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 23: Population Gridded Population of the World (GPW), v4 https://t.co/WShFGbGiJw
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Day 14: Boundaries Are boundaries ment to be just for counries? What if specifying by Ethnic Group across space and time? It is not same... Source: The International Conflict Research (ICR), ETH Zurich
By Eliška Vlčková (@vlckel)
#30DayMapChallenge 24: Statistics Age vs poverty in PHL metro region. An inverse relationship, hypothesizing that younger people are more prone to higher poverty. Data at block group level from @uscensusbureau, h/t @jscarto for bivariate how-to
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Day 4: Hexagons.
By Surface Libre (@surfacelibre)
Day 13: Tracks. Combining gpx to create a #heatmap - Data source: #Strava tracks - Map done with #Python and @geopandas How I did: https://t.co/Ue0Wca64Wz #30DayMapChallenge
By Anna, Kerook (@kerooksblog)
🗺 No.6 Lake Kasumigaura (霞ケ浦) consists of several lakes, the total area of which is second-largest in Japan. There are some places where the water depth exceeds 5m. I tried 3D and interactive visualization with @plotlygraphs ✨ #30DayMapChallenge
By Uryu Shinya (@u_ribo)
🗺 No.7 FIRMS information was mapped from Earth Observation Data provided by @NASAEarthData. Shows the location and density of fires in Brazil 🇧🇷 observed in 2018. 🦉 Code: https://t.co/UADOypXNFv Thanks 📦 {ggpointdensity} by @LPMKremer :) #rspatial #30DayMapChallenge
By Uryu Shinya (@u_ribo)
Mijn hexagons zijn een beetje laat voor dag 4 van de #30DayMapChallenge, maar het was dan ook even rekenen. #GIS #geospatial #addresses #Flanders #Belgium
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 26: Hydrology Portion of Richland County, Ohio (streams on DEM). #gis #geography #geographyteacher #cartography #maps #map #richlandcountyohio #hydrology
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge 6. Blue Water
By John O'Leary (@OLjohnel)
#30DayMapChallenge Day 2 : Lines - Pistes et voies cyclables de Lille #RStats #Lille #OpenData https://t.co/GDCUG5ULr7
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge 1. Points. Using a density map to generate a particle system in Blender.
By Peter Atwood (@Peterincan)
@kartverket @NorskPolar Can you find the Mariana Mountains and the Himalaya Trench? #30DayMapChallenge Day 11: Elevation Elevation data from @NASAEarth + QGIS + Photoshop
By Jon Olav H. Eikenes (@jonolave)
Day 18 of #30DayMapChallenge – Globe. Loose interpretation here… but I used Google Earth Studio for the first time (+ this easy tut https://t.co/URJw5GxV1f) to zoom in to some incredibly intricate rice terraced fields in Vietnam!
By ಠ_ಠ (@DeniseDSLu)
First day of the #30DayMapChallenge Challenge. Todays topic: points. These are alle the 2 million address locations in New Zealand. #cartography #qgis Data: AIMS Address Position (NZ)
By Leo (@hendrikxleo)
#30DayMapChallenge 10. Black & White Black and white grape varieties in France as a Go game Made with #QGIS
By Romain Lx (@lacxrx)
Bogota's neighborhoods with "San/Santo/Santa" (saint synonymous) in his name. #QGIS #30DayMapChallenge #Name #Bogota #colombia day 15
By Felipe Lancheros 🐯 (@MiniTigri)
Day 1 of the #30DayMapChallenge. Points was the map...so we went with some simple points of airports visited in October. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 1⃣6⃣ Places: All the @openstreetmap nodes representing places (tag: place=*) & located in the wonderful Sardinia, Italy 🇮🇹 (more info on the place key: https://t.co/alEb4yc4dV). Maps designed in @qgis. #opensource #opendata
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge 26. Hydrology - Some ports and inland water ways used in statistical reporting - joined contributions by @EU_Eurostat E4 #GISCO Team - 4days2go
By hannes reuter (@hireuter)
Day 7 of the #30DayMapChallenge - #red Geomni flew Greater London in summer of 2016 using a sensor that produced both standard colour imagery and infra-red imagery. This data has been used by @LDN_gov to derive a #London Tree Cover #map.
By GeomniUK (@GeomniUK)
#30DayMapChallenge Day 17: Zones NZ Protected areas, mostly department of conservation land, I've removed the marine areas. Coworkers idea, data from LINZ. Little blender, lots of QGIS and GIMP
By Pete King (@Generally_Geo)
#30daymapchallenge Day 1 - points. Nest count and distribution of Fulmar here in the UK. I love how this data takes the shape of the British Isles. (Data downloaded from magic)
By Kate Amanda Booth (@Kate_GIS)
#30DayMapChallenge land use polygons.
By Barbara Kent (@SDGeoGirl)
Day 13 #30DayMapChallenge is tracks, so here is a map that helps understand the pattern of railways in the SE of England, where victorian engineering drives modern house prices due to easy and hard places to build a railway.
By Ian Turton (@ijturton)
#30DayMapChallenge Day 1: Points
By Jon Olav H. Eikenes (@jonolave)
I missed day 7 and day 8 of #30DayMapChallenge but today I try to pay my debts by combining it with day 9 (little bit lazy to make 3 maps). It's Wulingyuan, Heritage site where you can find a mountains looks like flying mountain's in Avatar movie.
By Александр Зуев (@Zuev34W)
#30DayMapChallenge Day 18: Globe Playing with projections when suddenly a giant sinkhole opened up in Greenland! (Jugando con proyecciones y #mapproj en #rstats #rstatsES) This and other tests 👉 https://t.co/GMtMcqeAON #datosdemiercoles #GIS
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge Day 13: Tracks I just had to.... #gis #GeographyAwarenessWeek #geography #geographyteacher #GISDay #gisday2019 #cartography #NASCAR
By MyPhysicalWorld (@my_physical)
#30daymapchallenge 2. Lignes Pour moi la carte est toute choisie. Ma mission actuelle est la mise en place d'un système de gestion du patrimoine voirie pour la ville d'Avignon, alors je vous montre une trace GPS de mes récoltes d'images 360 (en + quelques images 360) #mapillary
By Granié Alexandre (@Alex_geomatic)
Now inspired by the #30DayMapChallenge Day #1: Every street in Vancouver coloured by its phonetic first letter: (ie 1st = "F" and Broadway = "B" and 62nd ="S") more weirdness to come!
By Aaron Licker (@LGeospatial)
Day 25: Climate There are many low-lying communities vulnerable to sea level rise in the face of climate change. Here is a map of south-east England's lowlands using @OrdnanceSurvey open data. Workings & data: https://t.co/4NCk4NwQq2 #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge 30: mājas. Pēc 29 kartēm bišķi jāiziet ārā, tāpēc pēdējo karti, tīrot māju, zīmē mājās palikušais robots. Arī mājiņu uzzīmējis.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge Hexagons using https://t.co/U1CqLTOTPp for Nairobi region. The maps below show movement times from the center region colored in a different color to the other regions. Averaged by the day #hexagon #UberH3 Made with QGIS and queries made in PostGIS
By dougie (@Meesterdoug)
Day 21 of the #30DayMapChallenge : Environment…US Current drought conditions from @NOAA…lets hope water doesn't become the new gold. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 4: Hexagons @mapmakerdavid @SouthArrowMaps I spent way too long making a pretty metallic heading
By Pete King (@Generally_Geo)
#30DayMapChallenge – Points Urban Constellation of my home state, #wisconsin. Really satisfied with how well SRTM data works as *SPACE*.
By Dylan HoHoHoriarty (@DylanMoriarty)
Day 12 of #30DayMapChallenge: Movement Map of changes to our followers in 2019
By Tweepsmap (@tweepsmap)
#30DayMapChallenge 20. Rural The Netherlands counts almost 126 million farm animals - that's 73 animals per capita! Which municipalities have the highest human-to-animal-ratio? We did the math and made this emoji-filled-map 👨🏻 🌾🚜 Interactive version 👉🏻https://t.co/xchioIm5gU
By LocalFocus (@LocalFocusNL)
My #30DayMapChallenge no. 6 - the nine largest lakes of New Zealand. You wouldn’t know it from looking at the code but this took me two hours to make. (So much for my self-imposed 30 minute limit 😅). https://t.co/xKttV9kKe4
By Aaron Schiff (@aschiff)
Day 14 #30DayMapChallenge # Boundaries I Con #MapasBogotá puedes conocer la ubicación de las 20 localidades en las que se divide la capital, también puedes conocer datos demográficos, población, salud, educación, seguridad, entre otros. Conócelos aquí 👉https://t.co/rn83STJ7Jt
By Catastro Bogotá (@CatastroBogota)
@jdatap @jmcastagnetto #30DayMapChallenge with #rspatial 18/30. Globe. Is there a better way to create a globe than using "globe"? Let's quickly play with John Coene (@jdatap again!) {globe4r} package 🌐. Artistic view of France regions... #rstats My computer suffers a lot with this rendering...
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day 29 - Experimental. It had to be one of the biggest experiments so here is the large Hadron collider rendered above ground
By Sweary Dave (@citizenfishy)
#30DayMapChallenge day 22: built environment. Here's all SNAP-authorized small retailers in New York City. There's a broad range of stores included in this mix, but the list on the map just about covers it. Map done in @qgis.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge day 14: a blank #map of europe // #blindekaart #cartemuette #blankmap // #boundaries // #GIS #madewithQGIS
By Michel Stuyts 🌍 (@michelstuyts)
Day 24 of #30DayMapChallenge: statistics Share of deaths from HIV/AIDS & other sexually transmitted diseases. Data from Global Burden of Disease Study 2017, https://t.co/5ivRq0Ef3e + #Rstats. Code: https://t.co/6CwTUch4a4
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Late Day 01 - Points attempt 2. Transit stops in 3 cities. made in #rstats Code: https://t.co/fHpzbJPd4o #30DayMapChallenge
By Adam Gruer (@AdamGruer)
A late contribution for #30DayMapChallenge (Red!) Took a bit to get familiar with QGIS again - I've been flexing my carpentry skills getting homestead infrastructure built vs. sitting at a computer. Vermont is my mapping focus thanks to @VCGI's outstanding data portal
By Kerrie Bushway (@kemby_geo)
#30DayMapChallenge Dia 6: azul Índice de Riesgo de la Calidad del Agua (IRCA) (2015) Este es un mapa que debería ser totalmente azul, pero lamentablemente no lo es. Cada punto representa un municipio en Colombia y su respectivo color representa el nivel de riesgo promedio.
By Colombia en datos (@col_en_datos)
#30DayMapChallenge 16: vietas. Piesārņotas vietas. Pēc Piesārņoto un potenciāli piesārņoto vietu reģistra datiem, ārpus Rīgas to skaitliski visvairāk ir Ventspilī.
By Zane (@atdodkonfektes) in Zane Atstāja
A few minutes before the end of the day, I managed a quick visualization of Toronto's building footprints for the #30DayMapChallenge Day 3 (polygons). Data comes from @microsoft awesome dataset of footprint inferred from computer vision: https://t.co/GwIzMoZ25K
By Spriteware (@Spriteware)
#30DayMapChallenge Day 28: Fun Originally did this for a workmate who was heading over to oz, I think it should become an official map series
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 14: Boundaries Landsat 8 (Bands 4,3,2) Central San Andreas Fault, The boundary of two giant tectonic plates. (sorry....late....had to work!) #gis #geography #geographyteacher #map #maps #cartography #landsat #landsat8 #earthquakes #sanandreas
By MyPhysicalWorld (@my_physical)
Work, work, work, work, work! 24hr Day 12: Movement #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Day 16 of the #30DayMapChallenge - #Places Did you know that over 23,000 buildings in London are situated on roads where 'PLACE' appears in the street name? A selection of these, from Central London, have been highlighted in Yellow. Can you name any of these streets? 👀
By GeomniUK (@GeomniUK)
Day 28 of #30DayMapChallenge: funny The last laugh, cemeteries in New Zealand. LINZ data + #Rstats. Code: https://t.co/p8bmESlkI9
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Belated day 18 of #30DayMapChallenge "Global... trade" 📦 : 🇪🇺 vs 🇺🇲 vs 🇨🇳 who's the biggest exporter to your country? Not my idea, but was inspired by @APHClarkson to redo the map 🗺️ to look at the EU's long trade shadow. Data via: https://t.co/nkqdO0Dgc2
By Arnold Platon (@Arnold_Platon)
The deep blue Tota lake, lying in the glorious green mountains of Boyacá, Colombia. Used Day 5 of the #30DayMapChallenge (raster) to learn how to make a pan-sharpened, true-colour Landsat 8 image using this excellent @NASAEarth guide https://t.co/jerm5VSfMl Those clouds 🌫️😍
By Ana Lucía González (@anlugonz)
#30DayMapChallenge Day 17: Globes - Atlantic Puffin @MovebankTeam has some incredibly useful and informative animal movement data. My daughter wanted to research where puffins live and their migratory range. Definitely going to revisit this map and data in the future.
By Christopher Pollard (@CRVanPollard)
Day 20 of #30DayMapChallenge – Rural. Using different cut of same data from yesterday, here’s a dot density map of people living in rural food deserts, >20 miles from a supermarket!
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Day 13: Tracks Wellington Fault Lines. Data sourced from @LINZLDS and @gnsscience
By Rebecca Clarke (@kiwirebecca)
Fault Lines through LA 7. Red #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
Had this knocking around from a previous project but since it's not been put in the public gaze, a #30DayMapChallenge for day 7 (red). Path of the Slazenger Challenge Match Ball from the 1966 World Cup Final England 4 West Germany 2. Red cus England played in red shirts.
By Kenneth Field (@kennethfield)
Day 21 (environment): These maps show the habitat and flow patterns of 4 pristine lowland streams in central Poland. The data were obtained in a field campaign in 2011. We also took macroinvertebrate samples and mapped terrestrial vegetation #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 8 is 'green' for the #30DayMapChallenge so this is how https://t.co/dpSlPUnPld map Green Day's gigs. Mercator. Non-normalised choropleth. Green to beige shading. A lesson in how not to make a thematic map https://t.co/KoGMjO1aaQ
By Kenneth Field (@kennethfield)
#30DayMapChallenge 18: globuss. Kur ir Latvija? Pats pirmais eksperiments Blenderī, kādreiz būs jāiemācās un jāuztaisa glītāk, jo saimniecībā noderēs.
By Zane (@atdodkonfektes) in Zane Atstāja
Total rainfall in Ireland in 2018 from @MetEireann data #30DayMapChallenge #Day5 #Raster The required attribution is a little much...
By Heikki Vesanto (@HeikkiVesanto)
Este era el experimento (absurdo) que tenía en mente para el día 29 del #30DayMapChallenge. Distancias (en línea recta) medias y máximas entre gasolineras en dirección N, S, E y O. Fuentes: mapa de @GRAFCAN y datos de @GPortalMinetur .
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 5 : Raster Hillshade Analysis Software : Qgis 3.8 Dataset : SRTM Data for Kenya
By Daniel Kiuri (@DanielKiuri)
#30DayMapChallenge New Zealand Geo Board Places divided into three types
By Pete King (@Generally_Geo)
Day 17 of #30DayMapChallenge: zones. Exclusive Economic Zones in the Caribbean from @marineregions.
By Topi Tjukanov (@tjukanov) in Finland
A bit late, but better than never. giving a try on #30DayMapChallenge 🎉 #day1 #points Yes, that's it: no fancy layout, just a simple #TerroristAttack "heat" map (00/04) for geopolitical class. Let's bring #GIS to classroom! & empower students with [real] #data. #geo4all
By FelipeBarros (@FelipeSMBarros)
#30DayMapChallenge Día 22. Edificación. Aquí se puede ver cómo se ha edificado en la zona bajío de los años 1996 al 2019.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge 9. Yellow Aviation obstacles, Norway. Data from @kartverket stored in @postgis and displayed in @Mapbox GL JS.
By Tore Halset (@torehalset)
Day 10 (black and white): This is one from my PhD thesis and shows the study site of a field experiment, where we studied the formation of alternate bars #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge 8 - GREEN "National parks in Mainland U.S. " @tableaupublic @tableau @Mapbox https://t.co/0NEpVjlqjt
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge least cost path in orienteering
By emil (@57x025)
Oil pipelines of the world for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
Using @xurxosanz's Koppen-Geiger Climate Classification dataset for #30DayMapChallenge https://t.co/njrJlZ6W94
By Ramya Ragupathy (@ramya_ragupathy)
Day 10 of #30DayMapChallenge – Black and White. Here’s a map of sesame seed production (sesame comes in black/white varieties etc….). Bare bones, looks kind of like a Chinese brush painting??
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge 2-lines. Commuters in the island of Sardinia
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 7. "Ruins in Estonia" topic: 'red'
By Anto Aasa (@antoaasa)
@kartverket @NorskPolar @NASAEarth Color intensity reflects the number of border changes 1945-2015. Russia has changed its borders 9 times! Struggling with R today, had to quite a bit of tweaking in Illustrator. #30DayMapChallenge Day 14: Boundaries
By Jon Olav H. Eikenes (@jonolave)
#30DayMapChallenge 5: rastrs. Tādu aizplīvurotu zaļganu Latviju redz Sentinel-2 satelīts vidēji gada laikā.
By Zane (@atdodkonfektes) in Zane Atstāja
Hace como dos años que no toco un SIG hoy me uno al #30DayMapChallenge Día 3. Polígonos. Este mapa surge de una conversación con mi papá sobre si los estados con refinerías se volvían properos, el mapa muestra el grado de marginación por estado y la presencia de refinerías.
By Alfredo M (@AlfieMar93)
#30DayMapChallenge day 1. Points. Takes me back to my days as a geophysicist. Made with #qgis
By Ian Turton (@ijturton)
The northern part of the Black Sea in winter, 2018. #30DayMapChallenge Day 05: Raster Created with combination True Color Band (432) and False color IR composite (843) for land, Inverted True Color and Inverted Infrared bands for water. #sentinel2
By gontsa (@gontsa)
#30DayMapChallenge Day 8: Green *Green* – the 100 longest roads in New Zealand with the word “green” in them.
By Hamish Campbell (@polemic)
#30DayMapChallenge - Fire season in Latvia’s State Forests
By emil (@57x025)
Earthquakes in the island of Mindanao, Philippines from October 1-31, 2019. Data Source: @phivolcs_dost #MindanaoQuake #30DayMapChallenge #GIS #Geology #Dataviz https://t.co/kC14GHaTTg
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
#30DayMapChallenge 16 - places old school digitising project done in #arcgis in the style of a tourist info map. a few years old but still going to say it fits for this month's challenge.
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Map_08 Green Mapa de Espacios Naturales Protegidos. Mapa all Green, y propuesta @mitecogob Mi post @iagua. Reflexiones sobre la planificación territorial del regadío. https://t.co/BEXhYoSuOB
By Ignasi Servià (@iservia)
#30DayMapChallenge 21: vide. Reiz sabojāta vide dažreiz tiek arī salabota. 40 gadus pēc nosusināšanas Sārnates ezers atguva ūdeni un glītu, zīmīgi ģeometrisku formu.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge - Day 15 #OSM hilly placenames in #QGIS. Crock and Knock both come from 'Cnoc', Irish for 'hill'. I knew Crock was more common north but wasn't aware of clear split. @NASA 90m SRTM baselayer confirms - most 'hill places' have hills. We're a literal people 😅
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge Day 23. Population Regional population age structures at a glance – a book of demographic stories in one image code: https://t.co/WlDSg7Uj2t text: https://t.co/aLasHL7VFk #rstats the 🎨 – {tricolore} 📦 @jschoeley
By Ilya Kashnitsky (@ikashnitsky)
#30DayMapChallenge Day 18: Globe Several citizens of the globe have chosen Santiago as their new home. Where do they live? Diversos ciudadanos del globo han elegido Santiago como su nuevo hogar. Donde viven? Data from @INE_Chile
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 4: Hexagons Apriaries in Ohio 2018 #gis #maps #map #geographyteacher #geography
By MyPhysicalWorld (@my_physical)
For todays #30DayMapChallenge I celebrated my ESRI UC map on migration by doing a different species & park (but the same title). Also tried out a vintage look this time. Data is from here: https://t.co/ISS97tuk8o
By Carl Churchill (@Cchurchili)
Day 19: Urban Landsat false colour of the most populous urban area in the world, the Greater Tokyo Area. This isn’t really a standard band combination, but I love how both the urban areas and the water come out in it. #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
Day 27: (Natural) Resources #30DayMapChallenge Canopy cover in Glacier National Park. Data: https://t.co/hdbdgsGfBh
By Leo (@hendrikxleo)
#30daymapchallenge Trying for a more @nytgraphics look for today as I look at the Sultanate of #Oman, which also was a trendsetter nation in embracing GIS data. Check out their online portal here: https://t.co/YLC2tz9gtk
By Carl Churchill (@Cchurchili)
In 2015, I georeferenced the image of an old map feat. my home island, made custom tiles from it (inspired by Kyle Walker), added roads & buildings, and made a #leaflet map https://t.co/hbOjIJ5Fq1 More at https://t.co/eTiOIJj6xw #qgis #rstats #30DayMapChallenge Day 5: raster.
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge 7. Red Camels live mainly in the red bit of Australia.
By Simon Jackson (@SimonGIS)
#30DayMapChallenge Day 9: Yellow. The sun - while its light is closer to white - false color images of extreme ultraviolet light (304 angstroms) help us understand more about it. Here's a 2012 NASA JPL measurement projected to Equal Earth (Equal Sol?) from the Sun 2015 spheroid.
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 2⃣ Lines: The run I made yesterday: down to beautiful Lake Como & back up the hill 🌄 - data: GPS track recorded by my @Garmin - map: the new @Mapbox @openstreetmap background used by @Strava
By Marco Minghini (@MarcoMinghini) in Italy
DAY18 - #globe #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
@col_en_datos @qgis @CitiBikeNYC Day 3 #30DayMapChallenge: Polygons. Using more local information today, cadastral zones of Bogota overlain with the city's road map and colored by number of injured people in traffic related event
By DoctorJ (@garciaart3)
#30DayMapChallenge 24. Statistics Places in France where you can say "OK boomer" to everyone Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 12 - Movement: It's not much (animation is not my strength), but... it's something! Hail reports each day over the Spring of 2018.
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Day 5: Raster - Badlands (experimenting with different DEM color schemes and opacity options in @ArcGISPro). Can't seem to find the right mix so just go visit the Badlands for yourself #badlandsnps
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge 23. Population The cartogram of Ghana's 🇬🇭#population density (2015). This one was difficult😕. I haven't found a single R solution, and for the first time did part of the work with another software (scapetoad) #maps #rstats #ggplot #ghana #cartogram #accra
By Olga Kononykhina (@bettermeasured)
México cuenta con múltiples estrategias para proteger su riqueza natural, #biodiversidad y #ecosistemas. En 1917 inició la historia de una de ellas... #ANP #ÁreasNaturalesProtegidas #30dayMapChallenge
By AgroDer (@AgroDer)
Day 28 (funny): Today's map was mostly made by a next generation map maker, so I'm cheating a bit. In any case, we had a lot of fun! #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Cheating and combining day 6 (blue) and day 7 (red) of #30DayMapChallenge together so I can finally catch up. Here’s a weird map of 🍺 bars 🍺 crossed with election results...
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Map_09 Yellow Estimación de horas frío del Sistema Segarra-Garrigues @asg_sa (Segun la formula Weinberger) Mapa 2003. Zonning cultivos SG. El post @iagua. El agua , motor de la ruleta de la fortuna. https://t.co/KCgXEc0kru
By Ignasi Servià (@iservia)
Highlighting data quality issues with #OpenStreetMap #OSM data for today’s #30DayMapChallenge - while an invaluable source, data completeness needs to be looked at in areas such as #Vejle in Denmark
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge day 20: a color infrared image of Grenspark de Zoom Kalmthoutse Heide. Data by @info_vlaanderen and @openstreetmap // #rural imagery
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Día 3. Polígonos. Mapa de las regiones del estado de Jalisco. Consulta el mapa completo en https://t.co/a3GgQknhZf
By IIEG Jalisco (@IIEGJ)
Taking a stab at the #30DayMapChallenge... Here's a density map of the birth place of all 140,000 MLB/MiLB players we have in our database.
By Daren Willman (@darenw)
The #30daymapchallenge theme for today is “Movement”. So here’s *just* the layer of ocean currents from a map (centered on the Pacific) I made a few years ago. When working on it the linework grabbed me. #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge 18. Globe As I have no time for making a map today, here is an old world map of agricultural crops (Schrader, Prudent and Anthoine, 1904)
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 3: Polygons - Philly Philly w/ @GrittyNHL Tools: @ArcGISPro #northisasocietalconstruct #gritty #phillyphilly
By Christopher Pollard (@CRVanPollard)
Last day #30DayMapChallenge, Day 30: Home. "Cool" district in the center of #Rotterdam where I live. #Coolsingel #Koopgoot #Westblaak #Lijnbaan #WTC. #opendata: 25 cm orthophoto draped over 50 cm #LIDAR based #DSM #AHN3 from @PDOK_online. Software: #QGIS with #Qgis2threejs plugin
By Hans van der Kwast (@hansakwast)
Day 2 // #30DayMapChallenge Lines. Sort of. Query POIs along a line. https://t.co/9PGzlAqFgF
By Rafa Gutierrez (@geografa)
#30DayMapChallenge Day 23: Population - Built Up Area Sub Division Populations - Wales (2015) #opensource #lle #osopen #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Día 26. Hidrología (Hydrology). Distribución de la precipitación Anual en la #CDMX, donde se observa que, típicamente, la temporada de lluvias va de mayo a inicios de octubre. #RStats con datos del Atlas de Riego de la CDMX.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge #QGIS Black and White Malla víal de la localidad de San Cristobal
By Felipe Lancheros 🐯 (@MiniTigri)
#30DayMapChallenge Day 4: Hexagons. Playful Topographic Map of the Chatham Islands – Lagoons, Sand, Swamps & Forests. Classic and 3D versions via QGIS. Data: LINZ Chathams 1:250k Topo (https://t.co/peyVJ1d4sm)
By Hamish Campbell (@polemic)
#30DayMapChallenge Dia 22. Built environment. Densidad de población que tiene vivienda en la zona de Suelo de conservación de la #CDMX (i.e. donde se recarga el acuífero de la ciudad). #RStats con datos de https://t.co/HhWzFU3uoB y @PAOTmx
By Juvenal (@JuvenalCamposF)
Now caught up on #30DayMapChallenge with "Zones". Going back to PIRATES and using the ASAM subregions piracy zones to aggregate anti-shipping incidents since 1978 via the {asam} #rstats pkg (+ {sf} & {ggplot2}). Code up soon for this and the prev one.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Concentración de alumnos en Monterrey Day 23: Population #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 25 Climate, Density of abandoned oil/gas wells and current oil industry pipelines in #Alberta #ClimateEmergency @AER_news @sharonjriley @thenarwhalca https://t.co/cPqPzDqq8s @7Javier6
By David Díaz Escandón (@ddiazescandon)
#30DayMapChallenge - day 14: boundaries Sneak peek at @marineregions' new maritime boundaries release, coming to a web service near you (hopefully) next week! 🌎 @jmeesvliz @LifeWatchVLIZ
By Britt Lonneville (@BrittLonneville)
Greater Dublin commuter flows from CSO data #30DayMapChallenge #Day9 #Yellow
By Heikki Vesanto (@HeikkiVesanto)
Day 14 of #30DayMapChallenge - Boundaries The cadastral parcels of PETR Pays Ploërmel #edigeo #cadastre #urbanisme #paysploermel #QGIS @dgfip_officiel
By Ben (@benfriin)
Density of zipcodes in the US #30DayMapChallenge #rural using #gglot2 geom_hex() Code + data at https://t.co/dXfoml7uCT
By Sláinte Claus (@iamreddave)
#30DayMapChallenge Day 10: Black and white. I asked my first year students this week what new thing they had learned about Athens and the @universityofga since arriving. First answer: it's hilly. Here's a contour map that shows it. Made with @qgis
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge #MDE Modelo Digital de Elevación de Altamira, Tamaulipas. Fuente: Conjunto de Elevaciones Mexicano 3.0 #INEGI #GIS #SIG
By Felipe Sosa (@AnalisisGeo)
Day 14: Boundaries Arctic Circle Data from Natural Earth Built with Postgis/qgis/ps #30DayMapChallenge #gischat
By Kyle W. Smith (@kwsSanDiego)
Day 20 of the #30DayMapChallenge : Rural…Population density areas from #NASAsedac with urban extents overlaid. All the areas we need initiatives like @TelecomInfraP to drive connectivity outside of urban. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge 4: sešstūri. Purvciems.
By Zane (@atdodkonfektes) in Zane Atstāja
Since I live in a loony state I charted 2018 Maine loon population counts for today's #30DayMapChallenge in #rstats {sf} using data from the @MaineAudubon society (I told ya we're a pretty loony state). Code (as usual): https://t.co/NJF4xfPPxW + all the social coding sites
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge. Day 10: Black and White Mapa de la red ferroviaria chilena. Se incluyen estaciones y vías que están en operación, levantadas o abandonadas. Base de datos https://t.co/TJ7DPQwn1E. Link: https://t.co/S90jF3tV3F
By Humberto Iván (@humbertoivanrm)
#30DayMapChallenge Map_25 #Climate Classificació de Agroclimàtica de Papadakis (Estiu/Hivern) Index Climàtic Potencialitat Agrícola de Turc (Secà/Regadiu) Mapes del 2008. #CatAgTw El post @iagua Evolución de la Latitud y Altitud del regadío en Europa https://t.co/vkDCgxvJFM
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 12: Movement (social) Relationship between protests and segregation / La relación entre las protestas de las últimas 3 semanas y la segregación de #santiagochile Datos obtenidos desde Geografía Crítica Chile, Sosafe y @f_vivienda #ParoNacional
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge dag 2, lijnen deze keer. Één vierkante km rondom "het" centrale punt van Nederland, in een nachtelijke blik op infrastructuur en inrichtingselementen uit Top10NL.
By Bart Broex (@bbroex)
#30DayMapChallenge 1. Points pH des nappes souterraines en #bretagne
By Ben (@benfriin)
#30DayMapChallenge Day 10: Black & White: Baarle-Hertog https://t.co/IBQwn2sJDM
By maptastik (@maptastik)
Day 10 Black and White - Spent this afternoon playing the awesome new tool #Aerialod by @ephtracy to visualise #Lidar data for East Belfast. https://t.co/BovoLP1Rys Data from @opendatani #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge 1. diena. Punktotā Rīga.
By Kristīne (@kriksine)
#30DayMapChallenge Day 22 for built environment I looked at heathrow and gatwick airports
By Sam J (@samwise_v)
Mapa 3. Densidad de unidades públicas de Primer Nivel de Atención de la @SSalud_mx, @Tu_IMSS e @ISSSTE_mx ¿Hay acceso efectivo? Fuente: DENUE (procesado) de @INEGI_INFORMA #30DayMapChallenge
By Daniel Choperena (@DanielChoperena)
#30DayMapChallenge - day 15: names All trenches with line geometry from the #GEBCO undersea features gazetteer, which is also integrated in our very own @marineregions! 😎 #shamelessplugismymiddlename 👉 Source: https://t.co/dFPMtYEGLX
By Britt Lonneville (@BrittLonneville)
#30DayMapChallenge Day 21: environment After the farm animals yesterday we thought it might be fun to look into which places have more people than trees. Trees vs. People, who would win in a fight if only numbers mattered. Interactive version 👉🏻 https://t.co/FBXCMIxH5j
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge 4 | Hexagons For the month of June, each hexagon extruded to the number of cars reporting a traffic jam on Waze in that part of Louisville at that time (using #KeplerGL and #h3 by @UberEng in jupyter)
By Andrew Renninger (@AndrewRenninger)
#30DayMapChallenge Day 6: Blue. I thought of the ocean and a world view of cyclones. So, here's a map I call Cyclones in Spilhaus
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 22: Built environment Precariuous constructions in Montevideo showing spatial segregation towards the periphery | Segregación espacial en Montevideo vista a través de la precariedad de las construcciones. #rstats #rstatsES #datosdemiercoles
By Daniela de los Santos (@danidlsa)
Day 14 Boundaries - Lot of maps of @BorderIrish about today. But I want to take a moment to think about NI's other boundaries. Here are seven sets, one for every day of the week. We seem to love dividing up our little part of the world. Data: @opendatani #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge: Day 8 is green Just updated my SNAP retailer database--here's the top U.S. metros when counting dollar stores per capita.
By Jerry Shannon (@jerry_shannon)
Château médiéval. Wargame Cry Havoc, années 1980. #30DayMapChallenge #wargame #hexagon
By laurent gontier (@laurentgontier)
bike paths in Los Angeles . . . 10. B/W #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
#30DayMapChallenge Day 16. Zones. In da Zone. While doing yesterdays challenge, I noticed that there is an interesting pattern in the center zone of my home town. Used QGIS blending modes to enhance it. The empty spot in the middle is a large park area and empty line a river.🧿
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 24: Statistics. UK Practical Driving Test pass rate per centre. See how I was compared the pass rate to number of roundabouts (no linear correlation): https://t.co/gyHSsUDTju
By Zlata Popelnuh (@popelnuhh)
#30DayMapChallenge 23: iedzīvotāji. Ja visi jūrmalnieki aizietu uz pludmales ballīti, viņi aizņemtu tikai vienu staciju posmu. Teorētiski, 24 km garajā Jūrmalas pludmalē visiem pietiktu vietas arī saules un jūras peldēm, bet jūrmalnieki uz jūru neiet.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge day 8: green. Greens (and other vegetable products) exports value | Exportaciones de productos vegetales. Data: @opentradestats API 100% reproducible map 🙃👉https://t.co/kY7ecGlZqR #rstats #rstatsES #datosdemiercoles 📊
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge Day 15 - Names. I took the @OrdnanceSurvey Opennames dataset and found all towns and cities. I then "twinned" them with their British namesakes. Finally I made a network map connecting those places that share the same name. https://t.co/t5XI2SjE89
By Sweary Dave (@citizenfishy)
#30DayMapChallenge, day 5: raster. Playing with #QGIS, @Maanmittaus 2 m elevation model and @LukeFinland forest data. Result: a hillshade map of Hiidenportti national park, colours according to forest stand age (darker green = older forest).
By Teemu Saloriutta (@TeemuSaloriutta)
#30daymapchallenge the #globe in Robinson CRS with 400 km hexed countries and capitals.
By GEOLYTIX (@Geolytix)
And now that I'm (literally just there) caught up on #30DayMapChallenge, may I present #Day4, in which I break my black-and-white streak to do a hexagon map of @InsideAirbnb Sep 2019 listings data in Dublin City. 300x300m hexagonal bins smooth the 150m point randomisation effect.
By Maedhbh Nic Lochlainn (@niclochg)
Street Grades (clean, somewhat clean, dirty) in LA 8. Green #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
#30DayMapChallenge Day 12: Movement gif showing the #dig deep #peaktrail50 2018 race I did last year #qgis #timemanger #ultramarathon
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Day 5 : Raster - Lille en 1969 et zoom sur l'Université de Lille - FSJPS de Moulins #Lille #QGIS
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge: Day 3: Polygones Colonisation of America by Portugeses and Spanish
By Agnès Stienne (@odilon72)
#30DayMapChallenge Neighborhoods, highways and homicides in Monterrey: - Red: At least one murder between 2011-2018 - Blue: No murders Main high-speed roads in black and municipality delimiters in yellow. Data from el Norte and Open street map.
By Rodrigo Dorantes-Gilardi (@ruydg)
#30DayMapChallenge dag 18 @LaporteJan @info_vlaanderen GLOBE 🤷️lazy solution
By Vicky Verscheijden (@gis3700)
#30DayMapChallenge 16. Places From Places to Wines Made with #QGIS 3.10 (callouts hell in Burgondy) Only municipality names to PDO wines
By Romain Lx (@lacxrx)
Been off sick from coding but luckily have a hexagon map from a few years ago for day 4 of #30DayMapChallenge Irish speakers in the 2011 census binned by next (and also smoothed using getis-ord)
By Robert Hickman 🐝 (@robert_squared)
I went old-school for the #30DayMapChallenge today! The theme was “black and white”, which I interpreted as pure 1-bit and I limited myself to the resolution of my first computer monitor: a 720 x 348 Hercules greyscale one #lovemaps #cartography #mapping #pixelmapping
By One Stop Map (@onestopmap)
Day 12 (movement): Today I show again some soil erosion model results. This animation shows the movement (transport) of sediment through the Taibilla catchment (SE Spain). It shows that the two reservoirs trap most of the sediment #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge 28. Funny ! ✅More and more people are making maps with #R ... me now, I'm making maps with #Excel 😅 > Railroad crossing in France (Open Dataset by @SNCFReseau) https://t.co/PLPgYrXijp
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge Day 8: Green - Iceland Tools: @ArcGISPRO Loved making this map with my 9 y.o. daughter. She came up with the idea for making a green map of Iceland, picked the color scheme, and she really really wanted to add in some fun sea creatures #narwhale #kraken
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge with #rspatial 16/30. Places. Where are the 7 wonders of the ancient World? An opportunity to try {echart4r} of @jdatap . Map inspired by @jmcastagnetto #tidytuesday blog post: https://t.co/cvZ9shCgnQ
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge 14. diena robežas. Draudzības kurgāns. Uz kurgānu stiepjas trīs alejas: liepu (Latvija), kļavu (Baltkrievija) un bērzu (Krievija).
By Kristīne (@kriksine)
#30DayMapChallenge Day 25: Climate VIsualization of Köppen-Geiger climate classification based on updated zones provided by Kottek et al. in 2006. Decided to show not all 32 subcategories, 14 already made it though to find colours. 🗞️ https://t.co/SVTgjDSpKs
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 12 – movement HSL City Bike Trips for one day. Data: @HSLdevcom, @HSL_HRT Tools: #PostGIS, #QGIS, #GIMP Background map and roads: #ESRI, #digiroad. #MadewithQGIS, #kaupunkipyörä #avoindata
By Thomas Banafa (@ThomasBanafa)
#30DayMapChallenge Day 12 - Movement Mouvement des frontières des colonies britanniques au #Canada, entre 1881 et 1927 (premier gif, be gentle!)
By Gaëlle (@Gaelle_Sutton)
In honor of my return to Texas for Thanksgiving, I made a map of the Edwards Aquifer for Day 26 of the #30DayMapChallenge. Mixed feelings about how it turned out, but I can't be bothered to fix it on Thanksgiving eve. S/O to @John_M_Nelson for the corner map inspo.
By Mackenzie O’Brien (@mackenzieob210)
#30DayMapChallenge Day 22: Built environment Montbrison plan, pen & paper (2012)
By Alice Caron (@Alice_Caron_)
#30DayMapChallenge Day 10: Black and White: Roads of California. California has a reputation for car culture and traffic but there are also immense areas with little road infrastructure.
By Craig Williams (@williamscraigm)
For today's #30DayMapChallenge ("Statistics") I used county data from @mainegov with #rstats {sf} {cartogram} {ggplot2} to look at Population + (1/3)
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 2. lines Using the offline maps @osmandapp one can truck the distances they cover as a way of exercise😎 and many more uses. The yellow lines mark the gpx tracks smartphone + osmand + josm + Qgis = MapBelow #applicationofOpenStreetMap
By Allan Mbabani (@AMbabani)
Day 9 (yellow): Soil erosion is also projected to increase, mainly caused by an increase in extreme precipitation. We conclude that climate change will negatively impact water security in the Segura catchment and most likely other Mediterranean catchments #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 14 boundaries #30dayMapChallenge How many do we really need? There's so many more, so chose one of each of the official categories I could think of.
By Kylie Wilson (@_kyliejane)
Day 2 of #30DayMapChallenge: new bus network in Tartu! Topic for today was 'lines'. #maps #busroutes #publictransport #dataviz #datascience
By Positium (@positium)
#30DayMapChallenge Day 20: Rural. In 2016, there were seven farms inside the City of Helsinki that received subsidies from the EU. One of them is located on an island. Code: https://t.co/rjCPqunNQ8 Data by former MAVI via @CSCfi AVAA #rstats #tmap #sf
By Tuija Sonkkila (@ttso) in Finland
Very much enjoying the #30DayMapChallenge as an observer as I haven't really got time to do it justice. But I am currently making a map a day for #cartographybook2 and here's a snippet of today's map that also fits day 6 'blue'
By Kenneth Field (@kennethfield)
Another day, another map. #30DayMapChallenge Day 11: Elevation. If you haven't already, checkout osmnx. A handy library for working with osm networks. https://t.co/lZRuvpqwzl
By Ariel Kadouri (@akadouri)
Year of construction of buildings in Lviv, Ukraine. Shaded according to year of construction buildings in the center of city. Lviv was founded near the beginning of the 13th century. #30DayMapChallenge Day 19: Urban Data: #OpenStreetMap contributors, #qgis
By gontsa (@gontsa)
Día 27: Recursos / Pïktä'äky La producción agrícola de los municipios #mixes está determinada por las condiciones climáticas de cada municipio. El maíz, el café y el frijol siguen siendo los principales cultivos de la región. #30daymapchallenge
By Colmix (@Colmixe)
Day 5 of #30DayMapChallenge - raster - Fausse couleur Déglaciation 2000/2016 - baie d'Ungavia - Québéc Image modis
By Ben (@benfriin)
My travels around Ireland, by Townland. From Google Location data. #30DayMapChallenge #Day17 #Zones https://t.co/jZSxyQgMLs A few left to visit.
By Heikki Vesanto (@HeikkiVesanto)
Some lines that mean four letters to me: KIEZ¹. #30DayMapChallenge #Day2 lines: A map of my home area I created some time ago in #Python with #OSMnx by @gboeing. ¹alternatively: HOME, LIFE, LOVE. https://t.co/kRJ0jQXqQ4
By Cédric Scherer (@CedScherer)
Largest sports leagues by geographic area #30DayMapChallenge #Day18 #Globe
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge Day 4 Hexagon Too easy for us - mainland France is called L'Hexagone:
By a. f. (@lifelearner47)
#30DayMapChallenge 1 | Points You can tell a lot about a nation's economy by the number and distribution of its patents (via an excellent dataset from @gderasse et al https://t.co/PRdU18QyzT)
By Andrew Renninger (@AndrewRenninger)
#30DayMapChallenge 🗺️ Day 5: raster Species richness of terrestrial vertebrates 🐸🦎🦜🐻 Data source: IUCN, BirdLife, GARD Tools: #rstats #rspatial #ggplot2 📊 @IUCNRedList @BirdLife_Data @ReptileMaps #biodiversity #species #maps
By Mirza Cengic (@mirzacengic)
#30DayMapChallenge 2 | Lines Bay area street betweenness centrality (using the trigris package from @kyle_e_walker in #rstats)
By Andrew Renninger (@AndrewRenninger)
Estado que más produce maíz, más cara la tortilla... #30DayMapChallenge Places
By Carlos Cortés (@jccpmx)
Day 10 of the #30DayMapChallenge and the fatigue is setting in a little bit. Keeping it real simple today with a black and white map of the Black Sea. #Cartography
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Elevation : recoloured Version of Day 7 (Red). Buildings coloured by base-level elevation. #rstats
By Chisato (@chisatini)
#30DayMapChallenge with #rspatial 4/30. Hexagon: Isn't France called the Hexagon? 🇫🇷 "France in regular hex" with #rstatsFR
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge day 7 - Red. Wildfires in the Island of Sardinia from 2006 to 2018. Continuous color scale sucks..but we need red! Data source: @openras For this map i use ggplot2 instead of #tmap. I must say that ggplot has improved a lot after the introduction of geom_sf!
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 1 - Points Pedestrian Fatalities 2000-2018 Data: NZTA Disaggregated crash data
By Timmy (@gallicist)
#30DayMapChallenge Day 3. Polygons (a bit late). Natural Protected Areas in Mexico vs (on-going research) Conservation priorities for biodiversity and Aichi targets.
By Daniel Avila (@Daniel_AvOr)
#30DayMapChallenge Day 16 places "Où les pommes et les poires sont récoltées en France" (absence/présence par commune en France)
By Thomas gratier (@ThomasG77)
My #30DayMapChallenge #⃣2⃣4⃣ (statistics) about #maplesyrup 🍁🥞
By Philippe Massicotte (@philmassicotte)
Puffin nesting sites by number of birds. Data from @JNCC_UK #30DayMapChallenge #Day21 #Environment
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge Day 20: Rural The Amazon Basin is a colossal example of ruralness, a "civilized" isolation. Where urban is people, rural is people in nature. Day 21 will continue on the Amazon #gis #geography #geographyteacher #cartography #maps #map #amazon #landsat #landsat8
By MyPhysicalWorld (@my_physical)
Day 24 of the #30DayMapChallenge w the theme Statistics. I looked at the % of dwellings that are less than 100m from the coast. NZ is very preoccupied by earthquakes, but I actually think coastal erosion is more of a problem in some ways, especially when it comes to insurance
By Emma Vitz (@EmmaVitz) in New Zealand
I'll meet you on.... Perhaps Dublin's most confused street/road. #30DayMapChallenge #Day19 #Urban
By Heikki Vesanto (@HeikkiVesanto)
Day 7 Red - Location of red telephone boxes across the UK. Data points extracted from @openstreetmap. #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
Built environment around Mykolaiv, Ukraine. #30DayMapChallenge Day 22: Built Environment Data: #OpenStreetMap contributors, #QGIS
By gontsa (@gontsa)
Day 3 of the #30DayMapChallenge is brought to you by a pet spatial peeve of mine: Postcodes! A lot of companies love using postcodes, but they don't fit neatly within any other geometries & often mean I have to do a bunch of other calculations to get things assigned properly.
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge - day 6: Reds. This time with #ArcGIS: Montevideo's Socioeconomic Segregation Made this neighbourhood typology for my thesis with 2008-2011 data. I built hierarchical clusters based on the mean and SD of household income and educational level.
By Daniela de los Santos (@danidlsa)
Miami Street Orientation - for day 2 of the #30DayMapChallenge this map shows the orientation of roads named 'Avenue' and roads named 'Street' in Miami. https://t.co/R0aeGV6N6n
By gmapsmania (@gmapsmania)
#30DayMapChallenge Dia 12. Elevación ⛰. La "Sabana de Bogotá", un altiplano en el centro de #Colombia entre los 2.400 y 3.000 m.s.n.m.m. Usando el proceso de "iluminación de contornos" Tanaka. https://t.co/RJEHvaSvwE Con datos ASTER-#DEM
By Oscar Javier Espejo (@ojespejo)
Día 11: Elevación / Tun'ääw kojpk'ääw La palabra "mixe" suele asociarse con un ambiente montañoso y elevado. Pero esto es sólo parcialmente cierto: gran parte del territorio #mixe en realidad se ubica a altitudes menores a 1000 msnm. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge 13. Tracks Ground & Air units tackling a Bushfire
By Simon Jackson (@SimonGIS)
On the Origin of Species was published almos 160 years ago, so for the #30DayMapChallenge day 17, we show the evolution acceptance percentage in the countries visited by Darwin during the HSM Beagle voyages, and some others countries. #QGIS #charlesdarwin @ddiazescandon.
By Javier (@7Javier6)
Day 7: Red Named places featuring 'red' in English, Welsh and Gaelic. Coloured by proportion of all named places that are red. Workings & data: https://t.co/QuKCmebCMR #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge 20. Rural Today i map #Europe. And how europeans living in rural vs urban areas perceive their country's most important challenges data: Eurobarometer 91.2 2019 https://t.co/04XlRXVfZm #maps #rstats #rural #urban #eu #ggplot #eurostat #immigration #climate
By Olga Kononykhina (@bettermeasured)
My #30DayMapChallenge no. 8 (green) - New Zealand grassed land. Code: https://t.co/sdsG0Juggz (warning: Big Data!).
By Aaron Schiff (@aschiff)
#30DayMapChallenge 24: statistika. Skatoties kartes, Latvijā izskatās baigi daudz autoceļu salīdzinājumā ar kaimiņvalstīm. Re, kā 58443 km sakrīt pa novadiem.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge 10: melnbalts. Tikai 3,5 km no MELNĀ ezera līdz "BALTAJAM kuģim" Ķemeros.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge. Day 4: Hexagons Land use map of the Valdivia, Chile. Uso de suelo, Valdivia. Herramientas: QGIS, ArcGIS
By Humberto Iván (@humbertoivanrm)
For day 2 (lines) of the #30DayMapChallenge I took a look at the top export destinations (by $) for Maine goods w/#rstats {sf} Gosh our stuff heads far & wide, but most of it goes to our Canuck neighbors. Code on https://t.co/vNG5NE2Afn + sourcehut/bitbucket/gitlab/gitugh
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge - Day 7 #Green Who loves cats and dogs?? Based on data from #FEDIAF facts and figures 2018, I create a map of cats and dogs population using @QGIS. You can go to their site and read the full report there! So, which side are you? 😻 🐶
By Adityo Dwijananto (@adisadit)
#30DayMapChallenge Map_17 Zones. Zones d'inundabilitat de 100 i 500 anys (@aigua_cat) @iAgua
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 2: lines. #stravametro dataset viz
By Nadiia (@NadiiaGorash)
#30DayMapChallenge Day 24: Statistics Mass Shootings in America (1982-2019) Data: @MotherJones Lately, I’ve been giving my daughter extra long hugs in the morning before she heads to school. Last week, her school had a potential gun threat and the police were in full force (1/2)
By Christopher Pollard (@CRVanPollard)
Mijn #raster voor dag 5 van de #30DayMapChallenge. #Europe #3D #relief #madewithqgis
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge day 21: some #environment data from Belgium. NO2 concentrations in 2018. // data by @SMOG_BE and @openstreetmap
By Michel Stuyts 🌍 (@michelstuyts)
Day 25: Climate Our disappearing Arctic sea ice. Each year’s image is from September, when the ice is at its minimum. Data from @NSIDC #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
Boundaries, not all of them so simple. Disputed areas according to Natural Earth data (v 4.1.0). Most of the work here done with Inkscape, because QGIS was crashing a lot, due to the draw effects I think. #30DayMapChallenge #naturalearth @qgis @inkscape
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge 11. Elevation For #winelovers and my playing field, elevation of the Northern Rhône wine region Made with #QGIS Data @CopernicusLand
By Romain Lx (@lacxrx)
#30DayMapChallenge Day:1 points Accumulated one-month fire data animated using TimeManager plugin in #QGIS using #NASA #VIIRS data. Special thanks to @spatialthoughts for the lecture on this plugin. #DelhiNCRPollution #DelhiAirEmergency #Delhi
By Gokul Anand (@GokulAnand_)
Day 24 of The #30DayMapChallenge; statistics. Toyota is the most popular car brand in 263 out of 295 mainland municipalities in Finland. "Today. Tomorrow. Toyota" #Toyota
By Matti Kokkonen (@MattiJKokkonen)
#30DayMapChallenge Dia 12. Movimiento. Para hoy, muestro un mapa interactivo que elaboré con @jjsantoso para el concurso de visualización de datos de Ecobici. #RStats con datos de Ecobici y @jjsantoso
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 3: Polygons 🌎🌍🌏 Finally, I had the chance to make some cartograms using data from an older #TidyTuesday challenge on causes of death on a global and country-level scale. Article + Source: https://t.co/e0jAJHHYr2 #r4ds #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer)
Day 9 yellow #30dayMapChallenge Follow the sun ☀️ Involved maths 😬 and not at all sure it's correct, but fun to try & work out & then figure out how to plot it in QGIS.
By Kylie Wilson (@_kyliejane)
Day 24 of #30DayMapChallenge: #statistics. On day 17 I posted a temperature map interpolated with #Thiessen polygons. We can interpolate the same data also using inverse distance weighting (IDW). Which one is better? https://t.co/RGBeeOaiC6
By Hans van der Kwast (@hansakwast)
Day 14 of #30DayMapChallenge – Boundaries: 2019 Cricket World Cup Final *Those* boundaries (count them)
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge: Day 3 – Polygons or Lego® style brick raster in #QGIS using Geometry Generator expressions https://t.co/5pqfjcfrdP
By cartocalypse (@cartocalypse)
Day 23 (population): The population in the Mediterranean has steadily increased in the last 20 years. However, there are also areas where population density is decreasing, like in rural areas in Turkey #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 5 Rasters - One use for rasters is representing elevation data. Using a DEM of #Mallorca (One of our UG overseas fieldtrip locations), here are examples of tools our students use to interrogate these datasets. ⛰️🗺️ 25m resolution DEM from @IGNSpain #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge Jour4: Hexagons. Je n'ai pas cherché bien loin ni bien longtemps... Hexagons=France=Vin. Carte des 10 plus gros exportateurs de vin dans le monde. Utilisation de https://t.co/uO7N9Ip6YZ de @amcharts
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge 18. Globe This one's a bit meta, but we want to show some ❤️to all the @openstreetmap contributors who are mapping the globe! For most countries we calculated the number of kilobytes (OSM-file size) per square km.
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge Day 27: Resources - Nuclear Power Stations Tools:@ArcGISPro and Photoshop Nuclear power produces HUGE amounts of energy resources from small amounts of uranium and plutonium but it’s waste is radioactive and can effect local marine life from wastewater.
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge 30. Home Last but not least: we have called a few different places our 'home' so far. On this map you can see all our HQ's in Amsterdam, plus a brief timeline of our history. 🏡 Interactive 👉🏻https://t.co/5TWHmD3xMN
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge Dia 4: hexágonos Víctimas de minas antipersonales por departamento (1982 - 2012) Número de víctimas de minas antipersonales por cada 100.000 habitantes por departamento.
By Colombia en datos (@col_en_datos)
#30DayMapChallenge Day 6. Blues, 2019 average PM10 concentration in Mexico City (ppm). Not as impressive as day 5, but still.... (this challenge takes a lot of time XD) #DataViz #GIS @Aire_CDMX
By Daniel Avila (@Daniel_AvOr)
#30DayMapChallenge Map_23 Populatation Mi post @iagua de esta semana fué Catalunya Rural y el agua He generado un nuevo mapa con la Población de Catalunya https://t.co/dezj0yEXZx
By Ignasi Servià (@iservia)
Hexing the Oil Wells of California 4 - Hexagons(!) #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
#30DayMapChallenge Day 22. Built environment Some street patterns are so cool, you don't need any data to spice up your map: below you see old fortress city Naarden. Do you know which Wes Anderson-movie color scheme we used? 🤓 Interactive version 👉🏻https://t.co/lhbM3DLQAG
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge I had time today to crank this out on my laptop. Cranberry bogs are central to the SE Massachusetts economy, and were a major food source for Native Americans. Made this map in #QGIS and the logo with the (heh) https://t.co/elrqxlQqFF. Time for my kombucha.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge DAY16 #places - #qgis
By PJ #GISTonicker (@pj_go_2020)
#GreenDay for #30DayMapChallenge where I learned there was a Green Bay, New Zealand on the other side of the world to Green Bay, Wisconsin.
By Sam J (@samwise_v)
Day ten of the #30DayMapChallenge (black & gray)... Animating all 199 of Nolan Arenado's home runs since 2015 overlaid at Coors Field 😍😍😍 https://t.co/b2Rutwb4Yk
By Daren Willman (@darenw)
#30DayMapChallenge 20: lauki. Ja katrs novads pārvērstos par lauku, ko tur visbiežāk audzē, tik lielu, cik vidēji piesaka, mums būtu 432 ha zāles un 58 ha kviešu.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge (day 3. Polygons) Year of electrification in Belgium for 3 regions.
By Marcel Dekker (@marcel__dekker)
Not one of my cheeriest maps to start off the #30DayMapChallenge 1. Points Each point is a gun homicide incident in USA (2015) Data from @GunDeaths Interactive animated map created using @Carto Use Visible layers top right of map to toggle layers https://t.co/FF8SALfU72
By Dan Cookson (@danc00ks0n)
#30DayMapChallenge Día 11. Elevación. En el IIEG tenemos mapas 3D con la topografía de cada municipio de Jalisco. ¿Quieres verlos? https://t.co/MkAM2KEU1g
By IIEG Jalisco (@IIEGJ)
Time for Day 6 of the #30DayMapChallenge! What a better way to map something blue than highlight waterways within a city? Here’s #Chicago’s lakes and rivers
By Antonia Blankenberg (@blanky343)
A really simple map for day 26 of the #30DayMapChallenge - a look at Amsterdam’s (many) canals! #hydrology
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 30: Home 'Nuff said! Everyone did great this month on the challenge. Thanks for a fun 30 days! #gis #geographyteacher #geography #cartography #maps #map #landsat #landsat8 #ohio #arcgis #qgis #environment
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge 4/30 Hexagons. Bee population in Amsterdam. By @stvno (obviously not an example of how to make legible maps, just bee nice) #kantelkaart #tiltedtopo ∠90°
By cartiqo (@cartiqomaps)
#30DayMapChallenge 4. Hexagons Cycle routes in Greater Manchester (this is one for @gmmoving). The City of Manchester wins with 30km within the red hexagon. ET Geowizards used to generate the hex grid. Each hex side = 1km Source: Transport for GM @OfficialTfGM
By Helen Cooper (@HelenOfStow)
Day 16: Places "Place" describes the identities we attach to geographic regions. Sometimes those identities arise from direct experience, sometimes from prejudice. Here's a map of country search terms on Google. Workings & data: https://t.co/ln77gY2MOD #30DayMapChallenge
By Jo Wood (@jwoLondon)
@tjukanov #30DayMapChallenge 6. Blue. Since I never leave my home town (apparently), I tested how QGIS renders shading on lines. It makes the roads look like blood veins. And river Aura is the main source of blue life in our city.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge 4. Hexagons Number of placenames, southern Norway.
By Tore Halset (@torehalset)
#30daymapchallenge day 6 - Red If ever you're in the U.S. and find yourself asking, "Where the hell is...?", or "Where the devil....?", then worry no more as I've made you a map. #gischat
By Kyle W. Smith (@kwsSanDiego)
Day 9. Yellow. #30DayMapChallenge #rstats #RstatsES Estuve pensando en cosas amarillas, y me acordé del PRD. Cuando mi familia era militante en los 90's y primeros años del 2000... Y hoy es un cascajo vacío y triste. Total, busqué datos de municipios donde sigue gobernando...
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
Bus and metro traffic lines from GPS points in Lauttasaari, Helsinki. Each line is a single journey. Created with #PostGIS and #QGIS #30DayMapChallenge Day 2. Lines.
By Topi Tjukanov (@tjukanov) in Finland
Mi participación en el primer día del #30DayMapChallenge, temática: puntos. Farolas (35099 puntos) en Las Palmas de Gran Canaria. Fuente: @hacienda_gobcan Gobierno de Canarias. Encuesta de Infraestructuras y Equipamientos Locales 2016.
By Pedro Suárez (@pedro_com_es)
Día 1 Points: Sismos registrados en México (magnitud 3.5 a 9 , de 2019-08 a 2019-10). #30DayMapChallenge #rstatsES #datosdemieRcoles #rstats #ggplot2 https://t.co/tzghVakhuS
By Enrique Santibáñez Cortés (@EnriqeSc)
Day 23: Population #30DayMapChallenge Inhabitants per square kilometer at neighborhood level Data: CBS buurten kaart 2018
By Leo (@hendrikxleo)
#30daymapchallenge Day 7. "Red" : Number of grape production sites accessible within 10 km in France. Data from 96000+ geocoded addresses of firms with "Culture de la vigne" as main activity (Sirene database, 2019). Done with the amazing R pacakge #cartograpy #rstat
By Antoine Peris (@AntoinePeris)
#30DayMapChallenge 9. Yellow How many forest fires in Europe were 'active' in the last 48 hours? Interactive version 👉🏻 https://t.co/nhZN47BLvu
By LocalFocus (@LocalFocusNL)
All red > Brazilian soy production and flow > Day 7 of #30DayMapChallenge
By carolina passos (@carolpos)
For day 12 of #30DayMapChallenge, the theme is movement. Here's an updated map of dollar store density from 2008-2019 at county level using SNAP authorized retailers (>95% of locations).
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge 19. Urban For the urban day i reshaped the 2015 map of cities accessibility, to show only the areas where the nearest city is <=2 hours away data&quotes: https://t.co/EbYWH1L1wJ https://t.co/JCAErUMk9t #maps #rstats #sdg11 #development #urban #cities
By Olga Kononykhina (@bettermeasured)
Day 3: Polygons Lego Finland. #30DayMapChallenge
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge - day 11 - #elevation 3D printed lidar, prepared with #QGIS
By Surface Libre (@surfacelibre)
Dag 4 van de #30DayMapChallenge, hexagon: aantal logies in Limburg per 10km² * thanks to the challenging I used the hexagon * @toerismelimburg
By Vicky Verscheijden (@gis3700)
#30DayMapChallenge Dia 25. Climas (Climate). Clima (Clasificación Köppen) para los municipios de la Zona Metropolitana de la #CDMX . #RStats con datos de Climatología de @INEGI_INFORMA
By Juvenal (@JuvenalCamposF)
Hurricane tracks from the NOAA IBTrACS database, line thickness by speed #30DayMapChallenge #Day24 #Climate Inspired by @williamscraigm https://t.co/PKWyDYL0nw
By Heikki Vesanto (@HeikkiVesanto)
That's my hometown with suburb labels in Tamil for the #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
Playing catch-up here. #30DayMapChallenge Day 1: Points - Mapping GoRaleigh stops and shelters using using CARTOframes #gischat https://t.co/idXC5YaJwp
By maptastik (@maptastik)
#30DayMapChallenge Day 3. Polygons Haskell County, Kansas crop circles (again). Generalized with a 5-color scheme. 2017 NAIP imagery for comparison. Central pivot irrigation in western Kansas is so mesmerizing from above.
By Travis White (@visualvariable)
#30DayMapChallenge Day 30: Home - 🏡 #opensource #imagery #stamen #scotland #stirling #gischat #geography #cartography #makemapsart
By Kirsten Reilly (@_penguin_runner)
Only 2 countries in the world officially use mobile positioning data for national statistics. Can you guess which ones? Day 24 of #30DayMapChallenge (statistics) #maps #statistics #mobiledata
By Positium (@positium)
#30DayMapChallenge Day 6: Blue Plànol de la precipitació Mitjana a Catalunya i la seva relació amb els regadius tradicionals i altres regadius #PlaRegadiusCatalunya 2008. El post @iAgua Regar, natural com el agua. https://t.co/5XNGfDJUwC
By Ignasi Servià (@iservia)
Today is day 8 of #30DayMapChallenge and the theme is "green". Here we have visualised the number of watt-hours of energy generated from renewable (green💚) resources in each Local Authority. You can slide through to see how this varies from year to year!
By Emu Analytics (@emu_info)
#30DayMapChallenge Day5: raster. Beating my fear of raster one map at a time. ⬇️ Sicily elevation map made with elevatr (gets terrain data) and #rayshader (makes anything pretty) in #rstats
By Nina Lindell (@ninatsuts)
I have had no time today for the #30DayMapChallenge so I quickly threw some terrain in #Photoshop and blasted it a bit for a nifty little bit of art.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 16: Places Oh, the places I've been (or seen) USA version! #gis #geography #geographyteacher #cartography #maps #map #travel
By MyPhysicalWorld (@my_physical)
Hadn't figured out how to do these ridgeplot elevation maps yet, so used this challenge as an excuse. Probably did more work than I needed to--manually relocating sampling points based on elevation and then merging to lines. Result has an almost oblique effect. #30DayMapChallenge
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge Day 16 is places. I'm working with some eBird data for a final class project. A bit of a stretch for the day's theme, but here's where birds have found a place in Georgia. A whole lot of cardinals and crows.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge 3- Polygons "Buildings in North Carolina" 1950 - 2019 @Mapbox
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge day 5: raster Uruguay's National System of Protected Areas | Sistema Nacional de Áreas Protegidas de Uruguay Interactive version: https://t.co/tpzyEnB7Ic Code #rstats #rstatsES : https://t.co/PlpC4qPLYE #datosdemiercoles
By Daniela de los Santos (@danidlsa)
Hoy comienza el #30DayMapChallenge ! E iré haciendo diferentes mapas sobre #Santiago y sus aristas de desigualdad (y en inglés) Day 1: points Predominant income level by school / Nivel de ingreso predom por colegio Data from @Mineduc and @EquipoJUNAEB
By Juanizio Correa Parra (@Juanizio_C)
Day 18 of the #30DayMapChallenge - #globe 2 images of #London showing Shakespeare’s Globe 1994 (Under Construction) 2013 (How it looks today)
By GeomniUK (@GeomniUK)
#30DayMapChallenge day 5. Wanted to experiment with giving my local USGS topo a little more depth. Combo of 1924 topo and 1m DEM. #gischat
By Kyle W. Smith (@kwsSanDiego)
Day 16 (places): The Mediteranean has always been one of my favorite holiday destinations. Therefore today the places I have visited in the Mediterranean, which includes cities (orange dots) and islands (red) #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Modern Slavery and Human Trafficking in the UK #30DayMapChallenge Day 2 & Day 7 a little lazy 😜 Tool: @tableau Inspired by: @ShijiaWendy Data: https://t.co/EatO4V95CE #dataviz #图表挑战 @tableaupublic #maps
By Yang Yu (@aptx4869yuyang)
#30DayMapChallenge Day 1: points South America distribution and size of storms with a mean precipitation rate above 10 mm/h. Precipitation source: CMORPH.
By Amanda (@SalvatiRehbein)
#30DayMapChallenge 2. #Lines Mexican Rivers ... no te mueras nunca @Conabio CONABIO
By Emmanuel (@Landa23)
#30DayMapChallenge Day 3: Polygons Map: SNAP* Households (%) by US School District. (ACS 2013-17 5-Year Estimates). Using #rstats packages #tidycensus, #tmap, #sf, #tigris, & #tidyverse. * Actual ACS Variable includes SSI, SNAP, & Cash Public Assistance.
By R.Richard (@rorich)
My submission for day 17. "Zones" 🗺️: 🌊 The many faces of 🇪🇺 EU-related maritime Exclusive Economic Zones ⛴️ Inspired to return to the #30DayMapChallenge by a tweet from @hireuter on EEZs. Took more hours than initially planned.
By Arnold Platon (@Arnold_Platon)
Day 24 of the #30DayMapChallenge : Statistics…Fast data binning, statistics, analytics, and visualization with the #GeoSpatialCore to make map data much more interactive and custom. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 26: #hydrology: If Mosul dam breaches. More info here: https://t.co/AWCXBGFwiU
By Lutra Consulting (@lutraconsulting)
Statistics. There's this stupid food gate in Finland. It's about whether or not it's OK to call something "vegetable meat". So here's a quick look at the evil municipalities, where fruit and veggies are processed and preserved. Data: @Tilastokeskus #30DayMapChallenge #kasvisliha
By Faris Alsuhail (@AlsuhailFaris)
Commercial corridors CDMX Day 2:Lines #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Sticking with CSO data on #Day8 of #30DayMapChallenge - for 'the emerald isle', it strikes me that we've not many placenames with 'green' (or 'glas' 🇮🇪) so that's what I'm highlighting. I definitely find themed map-making more zen than daytime tv for post-appendix op recovery...
By Maedhbh Nic Lochlainn (@niclochg)
Day21 #environment #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
Day 21 of the #30DayMapChallenge - #Environment London has recently become a #NationalPark and these land-use and volume of built environment maps show the significant extent of the green environment in Greater London. @LondonNPC (1/2)
By GeomniUK (@GeomniUK)
Visualizemap: Cartographie de la pauvreté des ménages en France avec cette carte interactive réalisée avec les données carroyées de @InseeFr et l’outil web @mapbox. #30DayMapChallenge #dataviz #bigdata https://t.co/TiSBJ97w5l https://t.co/yiuYZzNUUO
By Marie Anne Varga (@Marieannevarga)
#30DayMapChallenge day 8: A map on #woodland in #Edegem. // #green
By Michel Stuyts 🌍 (@michelstuyts)
Day 28 #30DayMapChallenge (Funny): another one from the archives - A Map of Puns: Bulls, New Zealand
By Andrew DC (@andrewdc_nz)
Day 5: Raster Landsat pseudocolor of sea ice breaking up around #BylotIsland #Nunavut with a tiny touch of hillshade. I was doing fieldwork on one of these glaciers on this date. The most incredible place I’ve ever seen- and so few ever will. #30DayMapChallenge #WomenInGeospatial
By Allison Cully (@AllisonCully) in Canada
#30daymapchallenge Day 03: polygons Glaciers in RM, Chile (IDE, 2019)
By Mauricio González (@magonza9)
Went for an art-deco railway postcard theme for my line attempt for day 2 of #30DayMapChallenge. Not sure what to make of it, might be throwing in the towel for the challenge soon 😛
By David Ager (@TheAgermeister)
#30DayMapChallenge 5. Raster Again, raster is a new thing to me. But it looked fascinating enough to finally get an AWS account to do more and faster👩 💻. Female adult literacy in Nigeria #dataviz #data #maps #ggplot #rstats #raster #GIS #literacy #Nigeria #gender #SDG4
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Used #mapbox and #Photoshop to do a small map on property value in #Estonia. Tallinn is a pricey place to live, with prices at €1,752 per sq. meter of property for a older apartment, up to 5000 for new construction in the city centre! (Newstrail 2019).
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 2 - lines. UK Holiday Time I fly my helicopter straight to the nearest hotel / b&b that has a Food Safety rating "Requiring Improvement" From there I fly to the next nearest and so on. Then home. Still just canvas. But with a projection this time.
By Mike Raistrick (@m_raistr)
Day 21 of #30DayMapChallenge: environment Number of lightning strikes in New Zealand from 2001 to 2016. Data from NZMFE + #Rstats Code: https://t.co/1Zh4XMLU5I
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
I’m way off of #30DayMapChallenge and don’t even know where to begin mapping paths and motion and things. So here is a map of two flight seasons and thousands of nautical miles of helicopter time.
By Adam Steer, doctor of all the things! (@adamdsteer)
#30DayMapChallenge Lines. Mapping the 4 year journey of an American whaling ship in the 19th century.
By Peter Atwood (@Peterincan)
Day 25 of #30DayMapChallenge – Climate: New Zealand's Mean Annual Solar Radiation
By Andrew Tyrrell (@SouthArrowMaps)
Day 13: Tracks #30DayMapChallenge Two #strava routes that I cycled last summer #gisday2019 Data: OCM Landscape, EU-DEM hillshade
By Leo (@hendrikxleo)
🗺 No.3 Administration Area Changes in 1920 (before WWII) to 2019 (present) Japan's administrative district has historically repeated several large-scale mergers and dissolutions. Code: TBA Tools: R, ggplot2, sf, patchwork ⚡️#30DayMapChallenge
By Uryu Shinya (@u_ribo)
Day Yellow and my first take on #30DayMapChallenge with my fav topic, citybikes. Many thanks @HSLdevcom for opening the OD data! Arcs with lowest number of trips are not visible, but it still looks a bit messy, though
By Arttu Kosonen (@datarttu)
The #30DayMapChallenge theme for today is “rural” and that hits home for me, being from a small village. Here’s the artificial archipelago formed by Dutch municipalities with a majority of their population classed as rural #cartography #lovemap
By One Stop Map (@onestopmap)
#30DayMapChallenge Day 2⃣6⃣ Hydrology: Major Italian river basins, grouped into 4 classes according to their area (label size follows the same classification). Source: WFS layer from the Italian National Geoportal (https://t.co/D5On7MW5cb) Map: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
My first maps of the #30DayMapChallenge! The prompt was "Points" - here are all schools in the Auckland and Wellington areas by the ethnicity of their students and the size of the school. #rstats #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
Already behind but here we go! #30DayMapChallenge Day 1: The Californians! One point for all 39ish million
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Day 1: points One day of AIS data (vessel position). One point = one position report. Projection: Robinson
By Emmanuel R (@Emmanue17939044)
Day 19 of #30DayMapChallenge (urban): daytime and nighttime home and work locations in the Põhja-Tallinn district in Tallinn, Estonia #urban #maps #datascience #dataviz
By Positium (@positium)
#30DayMapChallenge - Lines Old project that can be good to dust off for the occasion. Baltic sea ship movements from 2014 AIS data (thx @HELCOMInfo) Red = cargo Green = passenger Turqoise = fishing vessels Animation https://t.co/uZrDfrYzZS
By miska knapek (@miskaknapek)
#30DayMapChallenge Dia 1: puntos Asesinatos selectivos en Colombia 1981-2012 según el Centro Nacional de Memoria Histórica del conflicto armado colombiano.
By Colombia en datos (@col_en_datos)
Dnipro city. Day 07: Red #30DayMapChallenge Data: Alaska Satellite Facility, #OpenStreetMap contributors
By gontsa (@gontsa)
Catch-up contribution for day 22 of the #30DayMapChallenge: Buildings by number of levels in my home district #Moabit, the island in the heart of #Berlin 🧡 #ggplot2 #rstats #OpenStreetMap #dataviz
By Cédric Scherer (@CedScherer)
Day 8: Green #30DayMapChallenge The Neolithic passage tomb #Newgrange Ireland famous for the prehistoric landscape & Winter Solstice solar alignment on 21st December. This 1yr time-lapse has been created from @planetlabs 3m resolution daily #Dove🛰️imagery https://t.co/6wkWEmq9Wz
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
#30DayMapChallenge Day 4: Hexagons Map of outbound tourists from Estonia. #maps #dataviz #tourism #datascience
By Positium (@positium)
Day 9 Yellow - Map of street lights in Northern Ireland managed by the @deptinfra. Road network from @openstreetmap included for comparison. Using these data, urban lighting improvements can be identified to increase public safety.💡🏙️ Data from @opendatani #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge Día 14. Boundaries (Límites). Para este dia, les presento un hilo con municipios de México conformados por más de un sólo polígono (es decir, que tienen territorios enclaves). Municipio 1. Tlalnepantla de Baz, formado por Tlalnepantla del Este y T. oeste
By Juvenal (@JuvenalCamposF)
Gratuitous abuse and misuse of hexagons showing commute options scaled to speed. #30DayMapChallenge #hexagons using the location logger in Groundsman https://t.co/rAgsWPvZ99
By Andrew Fletcher (@EVB221)
#30DayMapChallenge 3/30 "Polygons".... wat is er allemaal te vinden over Utrechtse wijken (uit 2018)?
By Bart Broex (@bbroex)
#30DayMapChallenge Día 8. Verde. Áreas naturales protegidas en Jalisco, su función central es mantener la integridad de los ecosistemas (patrones y funciones) propios de una región. Consulta más información en https://t.co/xyndzaRc7E
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge days 23-24 population & statistics: exploring 1 km x 1 km population grid by @Tilastokeskus. Yellow map: 0-14 years age group bigger than 65+. Purple map: 65+ age group bigger than 0-14.
By Teemu Saloriutta (@TeemuSaloriutta)
Are we hallucinating or is it just today's map in the #30DayMapChallenge looking groovy? The theme is "Environment" and we have visualised the various crops around England, from maize to wheat and everything in between. Have a look here: https://t.co/bFOBC9PP8T
By Emu Analytics (@emu_info)
Median centre of population Ireland. Somewhere near Kilcock, Co.Kildare. 2011 Census data from Ireland and Northern Ireland. #30DayMapChallenge Day 23: Population #ggplot2
By Michael Cushen (@CushenMichael)
I'll focus on Kansas for my #30DayMapChallenge Day 1. Points Here's a dot density map of age groups by census tract, one dot per 100 people.
By Travis White (@visualvariable)
#30DayMapChallenge - Day 11 - Channeling my inner physical geographer with @NASA 90m SRTM elevation Data (thanks to @cgiarcsi for this very cool global + open access resource) to show Dublin as a land/water-scape from harbour to mountains.
By Maedhbh Nic Lochlainn (@niclochg)
Day 17 of #30DayMapChallenge: zones. #Thiessen polygons (aka #Voronoi cells) for spatial #interpolation of temperatures in the Netherlands. Clear gradient from the North Sea coast to the inland in this season (early autumn).
By Hans van der Kwast (@hansakwast)
#30DayMapChallenge day 30: #home @ equal earth
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 4: Raster Expansion of Urban Built-up Areas of Bangkok and Thailand from 1975-2015 Made with #qgis Source: GHS-Built #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
Day 14 #30DayMapChallenge: Boundaries. There are over 300 official border road crossings between #Ireland and #NorthernIreland. Using @opendatani NI roads network and NI boundary Polygon, I calculate 320. Location selected Polyline road segments within 50m of border. #GIS 🗺️
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
Kvanto de aliĝintoj al UK-oj (ekde 1980) #Esperanto #30DayMapChallenge Tago 23 : Population
By Reĝa Ardeo (@RegxaArdeo)
Day 18 of the #30DayMapChallenge is a view of global temperatures under #RCP 4.5, whereby emissions peak at 2040 and decline thereafter.
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge 1. Points Dispersion of churches by state in Mexico. Note that the majority is concentrated in the center and south. Made with #QGIS #Maps #Mexico #Church
By D. (@daniel_isita)
@qgis @TlseMetropole @IGNFrance @Mapbox My little contribution to the #30DayMapChallenge Day 9 - Yellow Streetlights in Paris made with @qgis & @opendataParis
By Tony Hauck (@Bill_Bluray)
#30DayMapChallenge 13. Tracks 214 hiking trails in France Made with #QGIS
By Romain Lx (@lacxrx)
Day 23: Population #30DayMapChallenge population density hexgrid England and Wales using #Aerialod @ephtracy & @ONS 2011 Census Output Area population.
By Michael Legg (@mjlegg)
#30DayMapChallenge Day 6 - Blue: This was a fun one! Map of "exempted" shipwreck sites (open to recreational divers without a permit) off the Massachusetts South Coast and Islands.
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Dia 10. Blanco y Negro 🔳. Comparación de Imágenes aéreas historicas (ortofotomosaicos) de #Bogotá 1998-2017. Sector Biblioteca El Tintal. Con datos @CatastroBogota #IDECA Hágalo usted mismo (#DIY): Desde el portal #MapasBogota https://t.co/r6me1NbpTX
By Oscar Javier Espejo (@ojespejo)
Dag 9 er egentlig gul, men denne er mer rød. Uansett viser det konsentrasjonen av barer og cafeer i Oslo (@openstreetmap) og steder der jeg har tatt en øl og sjekket inn på @untappd #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
#30DayMapChallenge 16. Places - Not the ususal place names, instead a sample of enclaves/exlaves of Europe which we need to take into account if using+creating pan European datasets4analysis, 2019 - joined contributions by @EU_Eurostat E4 Team - 14days2go - #GISCO
By hannes reuter (@hireuter)
#30DayMapChallenge Day 12 : Movements - Mobilités professionnelles dans le Nord #RStats #OpenData #Nord https://t.co/3b7PC4PWwy
By Cécile Rodrigues (@Grisoudre)
My #30DayMapChallenge no. 3 - downtown Auckland buildings. Code: https://t.co/32CeM4dNnf
By Aaron Schiff (@aschiff)
Day 2 of #30DayMapChallenge Saturdays are for getting outside so here’s a LINE map I made while running my favorite trail—the Belmont Plateau 10k loop—in Philly this summer
By Jessica Hammond (@jh550)
Heckuva wk, but squeaked out tdy's "Urban" #30DayMapChallenge showing New England urban areas + how these urban areas (in general) contribute to 💡 pollution via NASA Earth Obs 'Black Marble' (need to shrink a cpl files before sync to git repos). #rstats {sf} {raster} {ggplot2}
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
17 Zones Urban and Rural zones in Brazil over the time #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge Day 5 #Raster Submarine internet cables 🙈 #QGIS
By Carmen Carro (@CarmenCarro_)
Day 4 Hexagons #30DayMapChallenge You saw the other 3 right? 😉#b3d #Eevee
By Owen Powell (@owenjpowell)
#30DayMapChallenge Day 14 : Boundaries - Travailleurs transfrontaliers en Haute-Savoie #RStats #OpenData https://t.co/0Lb3lTr2E5
By Cécile Rodrigues (@Grisoudre)
(Partant du principe qu'en dehors de Vannes et Lorient, le Morbihan de 1906 est un département principalement agricole) Jour 20 - Rural - #30DayMapChallenge Mobilisation de la population du #Morbihan lors des inventaires des biens d’Église.
By Aurélien (@pivaurelien)
Just having a bit of fun with #30daymapchallenge. Australia always gets squished into a corner so I thought I'd compare a few projections (with Tassie attached of course). Day 18: Globe
By Kathryn Fuller (@FullerofScience)
#30DayMapChallenge 27. Resources Dr.Patrick Gilroy @ZiviZ_de wrote his #PhD about #ThinkTanks. My late map submission uses his data to show softpower as a resource. How far are EU think tanks from @EU_Commission and @Europarl_EN❓ <=2km‼️ #maps #rstats #ggplot #eu #Brussels
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge #BlackandWhite From our collection: This map of London was printed using a relief woodblock printing process, creating a striking effect with the black background and white text. "The environs of London." 1836. https://t.co/O5wrDrWbjM #London #thames
By Leventhal Map & Education Center at the BPL (@bplmaps)
#30DayMapChallenge Day 27 #Resources 👩 💻 Diseño gráfico en la Ciudad de México #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge : jour 7, thématique « rouge ». Allons donc à l'Est entre les 12 et 16 décembre 1991, quand l'Union soviétique se disloque et se résume pendant quatre jours au seul Kazakhstan et à ses 16,8 millions d'habitants. #recyclage https://t.co/ecFJz9cyUK
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge Mapa del rango del pájaro carpintero bellotero (Melanerpes formicivorus) en un escenario con un aumento de 1.5°C en la temperatura actual, en temporada de invierno. Fuente: https://t.co/hCe3N2y4H1 https://t.co/Xv6KDb8oql
By Alecantropo. (@aletslopez)
#30DayMapChallenge jour 2 : le thème du jour c'est « lignes », alors je vous propose cette carte des ouragans dans l’Atlantique nord pour la période 2000-2019 (en foncé, c’est Irma en septembre 2017).
By Pierre Breteau (@pierrebrt)
#30dayMapChallenge Day 16: Places Southernmost Point in the world #Chile @googlemaps https://t.co/QiSaUImqDt
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Day 21: Environment. Many a photo by @signebrander reveals just how rocky @helsinki was not so long ago. There is still plenty of bedrock visible. The biggest one is ~31500 m2 on the Harakka Island, a busy artists colony. Code: https://t.co/81BSe7uPOc
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge Day 26: Hydrology. Letchworth State Park and the Genesee River. Audaciously nicknamed "The Grand Canyon of the East," its beautiful deep gorge and waterfalls make it a favorite state park.
By Craig Williams (@williamscraigm)
Day 25 of #30DayMapChallenge – Climate. Here’s effects of climate change on rice yields across the globe.
By ಠ_ಠ (@DeniseDSLu)
#30DayMapChallenge Elevation. More Blender experiments! A quick and dirty procedural contour generator.
By Peter Atwood (@Peterincan)
#30DayMapChallenge 28. Funny Crepes on a waffle Made with #QGIS
By Romain Lx (@lacxrx)
Lago de Chapala, el más grande de México... además de presas, lagos y ríos del centro. #30DayMapChallenge Hydrology
By Carlos Cortés (@jccpmx)
Day 28 of #30DayMapChallenge – Funny. Is this funny or tragic you decide don’t look too hard.
By ಠ_ಠ (@DeniseDSLu)
Day 8 (Green) of #30DayMapChallenge. 4 most common trees in France. I should have used a qualitative colour scale, but oh well... Data from: @EU_ScienceHub, shapefile from @EU_Eurostat. Made in QGIS🌳🇫🇷
By Joaquin Beltran (@kimus_93)
Deviating from my "Maine and/or cyber" for Day 4 of the #30DayMapChallenge to cover PIRATES! I updated my {asam} #rstats package (since the data source & format changed 😡) and used {sf} to build a gridded hexbin of pirate attacks since 1978. Code: https://t.co/vNG5NE2Afn
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 14: #Boundaries From the archives: literally, one of the first prototype #census #outputareas, generated 1996 while on study leave at @ONSgeography. Inspired by Stan Openshaw, basic concept still in use @unisouthampton @UKDSCensus
By David Martin (@GeogDave)
Day 11 Elevation: well.... depth is kind of inverse elevation :-| Lake depth and plant (makrophytes) height #30DayMapChallenge #QGIS
By Nicolás Corti (@corti_nicolas)
Day 4 of #30DayMapChallenge (Hexagons) - Places Tagged in #OpenStreetMap with #TeReo #Maori names
By Andrew DC (@andrewdc_nz)
Day 15 of #30DayMapChallenge: text All hills of Canterbury, New Zealand. One can clearly see the Canterbury plains (without hills). Some towns added for reference in red. LINZ data + NZ Gazeteer https://t.co/aMrrMB5W4O #rstats Code: https://t.co/NBd3bDAmbq
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
[EN] #home of @swiss_geoportal is the geographical center of switzerland https://t.co/9oiUr452pg where you find ... a mini #switzerland ... thanks for @tjukanov for coming up with #30DayMapChallenge
By geo.admin.ch (@swiss_geoportal)
Direct flight destinations from Oslo Airport Gardermoen #30DayMapChallenge Day 2: Lines. Data: Avinor
By Jon Olav H. Eikenes (@jonolave)
Home is where the heart is. Thanks for the hearts. #30days30maps #love #30DayMapChallenge #Day30 #Home
By Heikki Vesanto (@HeikkiVesanto)
Day 14 of the #30DayMapChallenge : Boundaries…Fire Perimeter boundaries provided by @USGS to help maintain wireless networks focusing on impacted areas. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge /blue. Blueprint of Tongariro National Park parcels. Once again data from @LINZLDS @opendatanz
By Ian Harrison (@Kaihopu)
Día 4: Hexágonos Regiones en donde se distribuyen la mayor cantidad de localidades en las que se habla alguna #lenguaindígena en el estado de #Oaxaca. Sobresale la Sierra #Mazateca, la #Mixteca Alta, la Sierra #Mixe y la zona de Loxicha-Ozolotepec (#zapoteco). #30daymapchallenge
By Colmix (@Colmixe)
Day09 - #yellow Taxi map of Milan #milan #30DayMapChallenge @tjukanov #gistips #cityplanner #geospatial #qgis #postgis #leafletjs #wordpress #gischat #geography #cartography #dataviz #gistipster
By PJ #GISTonicker (@pj_go_2020)
Day 29 of the #30DayMapChallenge with the theme Experimental! I took this as permission to improve one of my previous maps 😆 Here we've got the max summer temperature in Australia, going back to 1910. We can also see new weather stations being added over time #rspatial #rstats
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 10 #Black 💸💰🤑 Estimated Gross Domestic Product Per Capita Source @WorldBank #NaturalEarth Using: @qgis #gischat #Economy #Geograpy
By Diego Pajarito G. (@diegopajarito)
Day 14 of #30DayMapChallenge - Names candidats Élection présidentielle 2017. 1er et 2nd tour - Bretagne #Presidentielles #OpenData
By Ben (@benfriin)
#30DayMapChallenge Day 1⃣5⃣ Names: Municipalities of Lombardy Region, Northern Italy 🇮🇹 The size of labels (showing the names of municipalities) depends on the population, classified into 6 classes based on quantiles. Sources: https://t.co/PtYY0OY6Uu & https://t.co/olKnZr6tVu
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge Day 11 elevation "Nantes et ses environs" => Joy division style for the noobs ;) (need to investigate your #qgis examples @cartocalypse) Use the Python ridge-map https://t.co/JHjSZZRsx7 So, the dependencies = only Python and one package!
By Thomas gratier (@ThomasG77)
#30DayMapChallenge Day 4⃣ Hexagons: Quantile classification of an hexagonal grid in Dar es Salaam, Tanzania, according to the average date of creation of @openstreetmap nodes, made with @qgis. Extracted from a paper written for @foss4g 2018 available at https://t.co/ZD2jtSPtt0
By Marco Minghini (@MarcoMinghini) in Italy
Recreación de recorridos de #ecobici considerando origen-destino y tiempo, la ruta se genera considerando vías de bici en #openstreetmap #CDMX se ve claro los sentidos en cada hora y demanda por sitio. #30DayMapChallenge Movement
By Carlos Cortés (@jccpmx)
Getting in on the #30DayMapChallenge with Lake Baikal as mapped two hundred years ago (1827) by the Russian Army. That's one vast empire and one deep lake! #GIS #historicalmaps #Baikal #hydrology
By The Imperiia Project (@ImperiiaProject)
Líneas de curvas de nivel cada 100 metros. #30DayMapChallenge Lines
By Carlos Cortés (@jccpmx)
When the #30daymapchallenge theme is “boundaries” I of course have to mention the crazy Dutch/Belgian enclaves of Baarle-Nassau and Baarle-Hertog. The newly opened bypass road crosses an international border no less than 8 times in just 2 miles #cartography #lovemaps
By One Stop Map (@onestopmap)
#30DayMapChallenge - Day 28 - Just for fun, the locations and shooting ranges of Dun Laoghaire-Rathdown Martello Towers. If South Dublin ever secedes and is defending itself from coastal invasion, we could try planning the landings from this 🤔
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge Day 18.-20. in one go, since we had a huge GIS party for the past two days in Finland. And @tjukanov taught me how to do a Turku centered globe with QGIS 🙏So, globe, urban and rural at the same time. It is a mess, I know, but had to jump back in the game.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 30 Home. About #UnVioladorEnTuCamino... 821 rapes of women in Mexico City during 2019. Data source: 'Datos Abiertos, Ciudad de México, Víctimas en carpetas de investigación PGJ', INEGI, PHC2010.
By jlOlarteQ (@jlOlarteQ)
#30DayMapChallenge Day 19: Urban not too much imagination and time
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
@fenwaypark Day seven of the #30DayMapChallenge (red)... Didn't have too much time to spend on it today but here's every route Mike Trout ran this year where he was the responsible fielder
By Daren Willman (@darenw)
I have stacks and stacks of #GrandCanyon raster data lying around. Decided to do something with it for todays challenge #30DayMapChallenge
By Carl Churchill (@Cchurchili)
@openstreetmap @OSMcatala Day 20: #Rural. Zonas agrícolas. CORINE Land Cover 2018 (2.1 & 2.2). #30DayMapChallenge #QGIS #agriculture #spain
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge Day 10 - Black and white A relief map of Rinjani Mountain, one of the active volcanoes in Indonesia as well as the most visited trekking site in Lombok. credits to: @openstreetmap & @InfoGeospasial
By Adityo Dwijananto (@adisadit)
#30DayMapChallenge day 21: only 5 city districts in Hamburg having more trees than cars
By Inga (@ing_ressive)
Day 2 of #30DayMapChallenge: lines. International travels of Donald Trump from 2017 to now. Made in https://t.co/k4fc9MQtmE. Data from Wikipedia.
By Bhanu K ¯\_(ツ)_/¯ (@thoughtisdead)
Day 7 red #30dayMapChallenge ...playing around with symbols & styling in QGIS, & the increasing temperatures, matching the Bureau of Meteorology colour scale. I don't know what I did but had to stop else I'll never catch up 😂
By Kylie Wilson (@_kyliejane)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal #Day14 #30DayMapChallenge: Boundaries. Borders between Colombia's 32 departments in black and between its 1100+ municipalities in magenta. Notice the number and size of the heavily populated central Andean regions vs. the sparsely populated Amazon south. (Dpt~state/province).
By DoctorJ (@garciaart3)
#30DayMapChallenge 3. Polygons: what if we remove all the continents? :) island shapes copyright @openstreetmap contributors; map made with @qgis #mapmaker
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge 6. Coastal tourism as #BlueEconomy sector.Three most popular destinations in EU: #Canarias, #Cataluña and Jadranska #Hrvatska, 2018 -info: https://t.co/cv0EKEHNyj -visu: https://t.co/JdjXCGAKHC -by @EU_Eurostat E4 -25days2go -Software: IMAGE-inhouse EC tool
By hannes reuter (@hireuter)
Day 26: Hydrology #Landsat 8 stretched RGB image of the Suwannee River in Florida expelling its inky blackwater into the sea. This is such a cool area! #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
Day 1 (points) of the #30DayMapChallenge. This map shows the size and construction year of all reservoirs in the Segura catchment (SE Spain), where I do most of my research.
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge 7. RED - Lots of discussion on that - we went for blood banks and -donation sites in OSM as of 06/11/2019 - data:@openstreetmap https://t.co/ryirCnHGxy -by @EU_Eurostat E4 team - 24days2go - Software: https://t.co/tM5e0O60Cp...
By hannes reuter (@hireuter)
Mexican railroads Day 13: Tracks #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge day 11: Elevation Using #GIS to explore the relationship between height & liquefaction risk in the San Francisco area using 3D #Scene with #ArcGIS
By Alistair Hamill (@lcgeography)
Railway tracks and metro stations from Indian cities for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
Day 26 of the #30DayMapChallenge : Hydrology…Water Basins from the @USGS. We'll zoom to the one's where I grew up with. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 7...Red.
By LDSI, Inc. (@LDSISurveying)
#30DayMapChallenge Day 25: Hidrology Debido a la pobreza de bases de datos hidrológicos de nuestra ciudad, solo pude mapear los grifos // Due to the poverty of hydrological databases in our city, I could only map the standpipes. Enjoy! Data from @SISS_CHILE
By Juanizio Correa Parra (@Juanizio_C)
Day 2, lines #30DayMapChallenge. The lines I have been travelling inside my home town last month. The data is based on my calendar and purchaces and #openstreetmap. Paths are opt.for bus and car with #QGIS #OSMtool. It is not the whole truth but close. My life in a nutshell.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge 2. Lines - Salt Lake City, UT Road Network 🚗
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge Rural, greenmap of @stadtongeren : *trees >3m - 11,28% *shrubs 0m <3m - 11,77% *agriculture 60,90% data agentschap natuur en bos, @info_vlaanderen https://t.co/lLgOQbJl6C
By Vicky Verscheijden (@gis3700)
#30DayMapChallenge 12. Movement - AirTraffic in Luxemburg inspired by @maartenzam - data:https://t.co/kjx5ojJRfC, vis:https://t.co/MZTNYiCdAO - joined contributions by @EU_EurostatE4 Team -18days2go- Thx to all #EUDataViz participants today
By hannes reuter (@hireuter)
Hillshade and calculated raster #30DayMapChallenge 5. Raster Upper Floridan Aquifer vs ground surface
By John O'Leary (@OLjohnel)
Day 10. B&W map. #30daymapchallenge #rstats #rstasES Bueno, hoy tocaba hacer un mapa blanco y negro, y quise dividir los agebs de Gdl y Cdmx en 2 cuartiles, para conocer su distribución espacial. Se confirma lo que sabemos, Gdl más rica está al poniente, al oriente la otra.
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
#30DayMapChallenge Day 25 Climate - though this map is more an indication of where problems will occur with increasing temperature rises. #QGIS
By Ian Turton (@ijturton)
@Syracuse1848 #30DayMapChallenge Day 9: Yellow New converted LED street lights in Syracuse! More than half of the 17,507 have been converted so far! Data not yet open, but working on it. Tools: #rstats #ggplot2
By Sam Edelstein (@samedelstein)
#30DayMapChallenge 6 | 7 Red | Blue Travel time to a city in red and to a port in blue; first nature means that they are rather similar (from @Dr_Andy_Nelson et al with methods specified in @ScientificData https://t.co/3fSumx3yGG)
By Andrew Renninger (@AndrewRenninger)
#30DayMapChallenge 14. Boundaries Few weeks ago I had a conversation about borders and enclaves of 🇺🇿 🇰🇬 🇹🇯 I think it's an great illustration for the boundaries day more: https://t.co/XpNf9GP9mi #dataviz #maps #ggplot #rstats #borders #Kyrgyzstan #Uzbekistan #Tajikistan
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 7: Red - Anfield Tools: @ArcGISPRO Data: @openstreetmap Liverpool Football Club (aka The Reds) have been calling Anfield their home since 1892. #LFC #youllneverwalkalone #buildingfootprints
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 8: Green This map shows #ecopassages in #Amsterdam to allow fauna to pass safely through the city
By Antonia Blankenberg (@blanky343)
For day 1 of the #30DayMapChallenge, "Points", I made a star map showing our 100 light-year radius neighborhood, highlighting the location of some possibly habitable planets. 3d space has been flattened to the plane of the Milky Way, while preserving distances from the Sun.
By Gorm 🌲 (@gefylen)
#30DayMapChallenge Day 29. All. most. done. Experimental. During this challenge I have experimented a lot. A lot more than I thought. This was supposed to be posted on the day the hydrology challenge was acute. But I'll take the opportunity now. *
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 14 - Boundaries Frontière Irlande du Nord / République d'Irlande, avec localisation des anciens checkpoints et passage/ Border between NI and the Republic with former checkpoint and crossing locations. @irishborder #irishborder #NI #RepublicOfIreland
By laurent gontier (@laurentgontier)
#30DayMapChallenge Dia 4. Hexágonos. #PizzaHex Mapa de densidad de Pizzerías, pollerías y demás restaurantes agrupados en pequeños hexágonos para la Zona Metropolitana de la #CDMX. #RStats (ggplot) con datos del DENUE.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge - day 6: blue Check out this year's tracks of our research vessel Simon Stevin, or follow it all live at https://t.co/HGTpgPbl4z ⛵️ @jmeesvliz @LifeWatchVLIZ
By Britt Lonneville (@BrittLonneville)
Van mis aportes al #30DayMapChallenge nuevos y atrasados, sobre segregación social en GDL. Acá el repositorio con los scripts: https://t.co/G0i4qIEfDY Day 7. Red: Segregación social en Guadalajara visto con años de educación a nivel manzana. Rojo es menos. #rstatsES #rstats
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
#30DayMapChallenge Day 9: Yellow - Get in the Van II An epic 9 day skateboarding trip from Denver to Portland that I took w/ friends in 2005. We skated 27 skateparks, slept on the beaches of the Pacific Ocean, and saw many beautiful parts of the Western US #handdrawnmap
By Christopher Pollard (@CRVanPollard)
Day 13 of #30DayMapChallenge - tracks. Building on @zentree's map from yesterday, storm tracks in the South Pacific, coloured by wind speed. Code: https://t.co/D3sksCwnWG. Some technical details below.
By Aaron Schiff (@aschiff)
#30DayMapChallenge 15. Names Some 🇫🇷 cheeses Made with #QGIS
By Romain Lx (@lacxrx)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests 23. Population #30DayMapChallenge Estimated population by 2030 of each municipality, by quintile. Data from @CONAPO_mx #quintil #mexico #population #qgis
By D. (@daniel_isita)
Day 5 (raster): Today just plain and simple a model result from the raster based model (SPHY) I'm working with, which makes use of the PCRaster framework (what's in the name). The map shows the simulated soil erosion in a subcatchment of the Segura River basin #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge Day-10 Black and White. Density Map of Zebra Crossings built in @qgis, frequency per 10km square, based on @openstreetmap data and using @OrdnanceSurvey boundaries. Seems an unusual distribution... sorry another play on colours/words, not much time today!
By AndrewBoltonBPDTS (@ABpdts)
#30DayMapChallenge and today is Rural. Not sure this attempt fully worked, but my first go at 'hand-drawn' style and using geometry generator in #qgis to try proportional bucket fills on a hexagon-cartogram....
By Sam J (@samwise_v)
Dia 9: Groc. Densitat d'Atletes Federats per 10km2. Kernel Density. Aprofitant dades del TFG, de la FCA (Temporada 2016-2017, crec). Track and Field Athletes Density. #Catalunya #QGIS #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge 23 - population proportion of E+W population aged 70+ (based on ONS MYE, 2019). Bit of re-shaping in #alteryx, visualised in #tableau. ▶️https://t.co/jDgKANP4oJ
By A. D. Mac (@AdiBop_)
Park Need in Los Angeles alongside Countywide Parks and Open Space 3. Polygons #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
Day 25 of the #30DayMapChallenge - Climate The Thames Barrier prevents the floodplain of most of Greater London from being flooded by exceptionally high tides and storm surges. Will the barrier be used more frequently due to the effects of climate change?
By GeomniUK (@GeomniUK)
#30DayMapChallenge 1/30 Points. When pumping stations define the shape of your country. Data: Nederlandse Gemalenstichting, 2019
By cartiqo (@cartiqomaps)
#30DayMapChallenge Day 19: Urban. The more urban, the more noise - that's how it still is, unfortunately. Highest decibel levels by Helsinki metro in 2017, just before the metro line was extended to the W. Code: https://t.co/MNgwwGS0k1 #ggplot #sf #rstats @HRInfoshare
By Tuija Sonkkila (@ttso) in Finland
Day 11 of #30DayMapChallenge is elevation! This plastic relief map of the area around Spokane, WA shows two ways of depicting elevation on maps: printed contour lines, and physically bending plastic to match terrain. More: https://t.co/Qf8GngvA5m
By Leventhal Map & Education Center at the BPL (@bplmaps)
Day 12 of the #30DayMapChallenge: Movement! I dug into some data on what cats get up to. Here we've got the most & least active cat in NZ, with Blue Nelson coming out on top by covering almost 4 km per day😼 & Tasha sticking to the couch at 42 metres per day 😸 #rspatial #rstats
By Emma Vitz (@EmmaVitz) in New Zealand
Day 2 of #30DayMapChallenge: Lines. @cristinapoiata and I chose to show relative distances of various cities from Sydney 🇦🇺 using the Azimuthal Equidistant projection 🤓. #dataviz #cartography #geography
By Richard Zimerman (@RichardZimerman)
Retweet @ CopernicusLand: RT hireuter: #30DayMapChallenge 21. Environment- #CORINE Land Cover from the EUEnvironment -upper classifications with coastal water excl.(left), 2018 and full classifications(right), 2000 -thx2 CopernicusEU data: …
By eoservices (@eo_services)
Day 19 of #30DayMapChallenge – Urban: Auckland's Urban Routes and Motorways
By Andrew Tyrrell (@SouthArrowMaps)
Day 14’s theme is Boundaries - I decided to mess around with this to try to show the implications of boundaries and borders in lieu of #Brexit negotiations #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
Another quick one for Day 6 of #30DayMapChallenge (Blu) by @tjukanov idea - ZTL Milano with new Area B (Blu Area) - OpenData Milano @opendatamilano
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge Day 29 #Experimental 🍷Bares, cantinas y similares en la Ciudad de México (Probando contar puntos por polígono en #QGIS)
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge #Map_28 Funny Este mapa se incorporó en el Poster de @SportBSymposium celebrado en 2015 la @lallotjalleida Distribución de 54 pista de Pàdel en Lleida. @padelindoor @ekkelleida @sicorisclub @tennislleida @TennisUrgell @TrevolLleida @cnlleidatennis
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 27 - Resources: Different types of biomass management treatments on BLM land in southwestern Oregon (mechanical, chemical, burning, etc.). (Had a lot of mappers block for this theme🙃)
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Map_21. Environment El post de @iagua es 3, 2, 1… ¡Agro!, Agricultura Variable para minimizar la contaminación difusa en la agricultura de regadío. 3⃣Teledetección. 2⃣Prescripción. 1⃣Aplicación. https://t.co/HrjcbvBk5D
By Ignasi Servià (@iservia)
@tjukanov #30DayMapChallenge day 8: Green Only – you guessed it – green metro lines in various cities. Data: OSM, Wikipedia Tools: QGIS, Excel, Adobe Illustrator
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge 8. Green 3D landscape from height map and satellite image of the Ijen volcano, which has a one-kilometre-wide green coloured acidic crater lake. Done with #blender using height map from https://t.co/Mbsrscekqh and satellite image from https://t.co/3RWxNXHASk
By Karim Douïeb (@karim_douieb)
#30DayMapChallenge Day 13: Tracks. Where the world's northernmost metro system meets Finland's southernmost coastline. Code: https://t.co/cEl1euhAAB #Rstats #sf #ggplot #ggrepel
By Tuija Sonkkila (@ttso) in Finland
#30daymapchallenge Day 07: red Public and subsidized schools Santiago, Chile (IDE, 2015)
By Mauricio González (@magonza9)
🗺 No.5 Showing NetCDF data using NOAA’s Multi-scale Ultra-high Resolution SST 🦉 Code: https://t.co/h9sLW53HiK #30DayMapChallenge Thanks for these package's maintainers! {tidync} @mdsumner {ggdark} @nsgrantham {rerddap} Scott Chamberlain & @rOpenSci {cptcity} @SergioIbarraEs1
By Uryu Shinya (@u_ribo)
@Syracuse1848 @SyracuseU @OnondagaCounty #30DayMapChallenge Day 16: Place More with the roads dataset in @OnondagaCounty - all of the roads with the classification "Place" in the County Data: https://t.co/CEH7gzAPRD Code: https://t.co/6Ifx2n3Kz5 Tools: #RStats #OpenData #ggplot2
By Sam Edelstein (@samedelstein)
#30DayMapChallenge 1.points One year of traffic accidents (approx. 32 000 points) in Estonia
By Evelyn (@evelynuuemaa)
Dublin, Manchester, Oxford, and Cambridge. Around the world. #30DayMapChallenge #Day15 #Names
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge, Day 4, hexs. Today I'm being a rebel and trying my hand a drawing. Combining projects with my @SciArtInitiativ bridge collaborative residency. This is my draft of a hex map showing my daily life in Wisconsin. Darker is more time spent.
By Innisfree (@Innisfree)
Dag 3 - polygoner Grunnkretser i sør- Norge har fått hver sin farge #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
Spotted a world map within our world 😱- an archipelago with countries as islets in Persian Gulf #30DayMapChallenge More reading: https://t.co/UqFYPx7oxK
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge 20. Rural: soil organic carbon as one of the very important ecosystem services in terms of agriculture. Modelled by our team @LGeoinformatics in collaboration with @MacroecologyUT and @IvikaOstonen 😊🤓https://t.co/BIOAbD48cm
By Evelyn (@evelynuuemaa)
#30DayMapChallenge Day 20 : Rural - Boulangeries dans le Nord #TeamPetitPain #Nord #RStats #OpenData https://t.co/qi43kedgKQ
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge Day 04 - Hexagons Répartition de la forêt #Corse 🌳🌲🌲 Données Corine Land Cover
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge Map#3 a conceptual decolonized map of @CityofVancouver. Shore and streams are theoretical based on current evidence. I lack permission and authority to put indigenous names on the map, but that was an idea. Some colonial edits to landscape may still be apparent
By Aaron Licker (@LGeospatial)
#30DayMapChallenge day 22 Built environment. Orwell’s dystopian World. @ddiazescandon
By Javier (@7Javier6)
Day 17 of the #30DayMapChallenge with the theme Zones! I looked at houses in the Christchurch redzone, which is the exclusion zone from the major 2011 earthquakes. If you look at aerial imagery now, you can see that these areas are now covered in grass as buildings are removed
By Emma Vitz (@EmmaVitz) in New Zealand
And day 2 (on time) of the #30DayMapChallenge some transect or #joyplot lines of montenegro
By Sam J (@samwise_v)
A quick extract from a University assignment for map 6 (blue) of #30DayMapChallenge showing Arctic Sea Ice Thickness. Data from: https://t.co/pxRYDUbhYf Last 28 days CryoSat thickness measurements. Basemap: https://t.co/M4lnHI9Rwq North polar view WMS
By Ewan McLaughlin (@EwanMcLaughlin6)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 18 (globe): How each of the 357 European airports is connected by commercial passenger flights https://t.co/pReqc0hVKP
By Maarten Lambrechts (@maartenzam)
Cartographie des mobilités professionnelles en 2016 : déplacements domicile - lieu de travail à Paris, Lyon, Marseille et dans toutes les communes de France. Consultez notre carte interactive pour en savoir plus. #30DayMapChallenge https://t.co/EzMrHnaywP
By visualizemap (@visualizemap)
Day 12 of #30DayMapChallenge – Movement. Here’s U.S. soybean exports on an Azimuthal Equidistant projection (?!!?), looks a bit WWII propaganda-esque…?
By ಠ_ಠ (@DeniseDSLu)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal @Foursquare @redcompleja #Day28 #30DayMapChallenge: Funny. Qualities required by the the perfect Latin American (according to an old self deprecating joke). This is my parting shot map, didn't complete all 30 days but had fun and learned a lot!
By DoctorJ (@garciaart3)
Day thirteen of the #30DayMapChallenge (boundaries)... Animating every #MLB field fence height, highlighting where home runs go out the most.
By Daren Willman (@darenw)
#30DayMapChallenge 7. Red Steep Slopes
By John O'Leary (@OLjohnel)
#30DayMapChallenge day 14, boundaries. A map of "big" order 7 - 8 catchments (from @mfe_news river environments classification) in the South Island, symbolised by boundary elevation. Useful clue for thinking about different hydrological regimes? #hydrology #spatial #rivers #nz
By Todd Redpath (@toddrednz)
#30DayMapChallenge Day 19: This map connects each pair of the over 7600 #African #urban agglomerations located at a distance of 637 kilometres or less (minimum distance at which all urban agglomerations on the continent are connected to one single network) https://t.co/0ShJocIRzn
By SWAC OECD (@SWAC_OECD)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests 24. Statistics #30DayMapChallenge Deaths reported by suicide for each state in Mexico in 2018. Jalisco (630), Estado de México (584) and Guanajuato (504) are the entities with the highest number of suicides. Data from @INEGI_INFORMA #MentalHealthMatters #mexico #suicide #map
By D. (@daniel_isita)
Day 26 of the #30DayMapChallenge with the theme Hydrology! I mapped pipes in Auckland by the pipe diameter. 🚿🚰 This map was made in QGIS rather than R (my usual) and I've also never used this data source before.
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 11 - Elevation Lego-style maps have been doing the rounds over the last few weeks, I had a go at making one in 3D entirely using QGIS
By Timmy (@gallicist)
Made from district level data, so not sure about accuracy. #30DayMapChallenge
By emil (@57x025)
#30DayMapChallenge Day 16. Places. My place. Center of Universe. Data form NLS-FI, buildings, centroid, classified by its use. I think I'm going to frame this.
By Sanna Jokela (@SannaJokela1)
@col_en_datos @qgis @CitiBikeNYC @VotoBici A bit behind schedule #Day7 #30DayMapChallenge: Red. Number of firearm seizure by department in 2017 in Colombia. Source, @PoliciaColombia (https://t.co/4vzOwLblJk)
By DoctorJ (@garciaart3)
Day 15 of #30DayMapChallenge 🗺️ Topic: "Names" Streets bearing names in the city I grew up in🇷🇴 Names of men ♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️♂️ And names of women ♀️.
By Arnold Platon (@Arnold_Platon)
Ending #30DayMapChallenge, here's day 30, home. I thought about this one for a while and want to take the opportunity to highlight Irish Housing Assistance Payment data - these households need homes, not to be 'housing need met' by state funding of private rental #housingforall
By Maedhbh Nic Lochlainn (@niclochg)
Our maps of the weekend in the #30DayMapChallenge are ones on the location of bathing sites in England and air quality management areas in the UK, covering the themes of Places and Zones. You can explore the maps here: https://t.co/KzzzWy4y6d #locationinsights #datavisualisation
By Emu Analytics (@emu_info)
Day 8 - Green #30DayMapChallenge I plotted the bike network in Madrid. Which in comparison with Boston and London seems quite... small. This is just my opinion, I haven't compared numbers. Although it would be interesting to know🤔
By Irene de la Torre (@inari_ta)
Heart of the North Island. I always felt rivers resembled our own circulatory systems. Lake Taupo made the perfect heart. Rivers from MfE. Lakes and hillshade from @LINZLDS. Made with @qgis, @OSGeo. #30DayMapChallenge Day 7: Red
By XYCarto (@XyCarto)
A piece of London. Digital surface model rendered with @blender_org Data: https://t.co/egLrjs7oCL #30DayMapChallenge Day 22: built environment
By Topi Tjukanov (@tjukanov) in Finland
Day. 22 - Built Environment of Oradea🇷🇴 - a older gif I created based on old maps - #30DayMapChallenge 🏙️
By Arnold Platon (@Arnold_Platon)
🗺 No.1 Map Symbolization in Japan 🇯🇵 In the map of Japan, more than 150 map symbols are established by the @GSI_chiriin 😲 I tried to display the point in ggplot2 as a map symbol. 🦉 Code: https://t.co/hJEp6leYi2 #rstats #30DayMapChallenge
By Uryu Shinya (@u_ribo)
The #30DayMapChallenge theme for today is Globe and it just so happens we made a few. Here’s One Stop Map team member (and sponsored cyclcross rider) Veerle showing off the BalancePlanet globe (Want one? Check out https://t.co/yt5LOPjQCA). #lovemaps #cartography #globe #globes
By One Stop Map (@onestopmap)
#30DayMapChallenge 6/30 Blue. Feeling blue? Map indicates risk of depressive and anxiety disorders among adults in 2016. Made by @emacgillavry based on data from @VZinfoNL and @statistiekcbs
By cartiqo (@cartiqomaps)
Día 8 (green) del #30DayMapChallenge : Un mapa para conocer dónde se concentra más la población femenina dedicada al trabajo de cuidados. Con datos del CPV2010, de @INEGI_INFORMA. #rstats #rstatsES Acá el repositorio actualizado: https://t.co/G0i4qIEfDY
By Máximo Ernesto Jaramillo Molina (@rojo_neon)
@ECMWF @CopernicusEU Day 26: Hydrology. International Hydrogeological Map of Europe. Data from the Federal Institute for Geosciences and Natural Resources (BGR). Code: https://t.co/y6OcXWFQGW #30DayMapChallenge #rstats #ggplot2 #sf #tidyverse
By Javier Elío (@Elio_Javi)
Day 19 (urban): Urban areas are rapidly expanding in the Mediterranean. These maps show how urban areas have expanded between 1990 and 2018 in 12 of the largest cities in the Mediterranean #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 4 hexagons #30DayMapChallenge Romania Presidential Elections 2019, hexagonal grid over total valid votes cartogram. 🙂 Interactive map: https://t.co/0csK4S1QxL Data: https://t.co/nEdI3B0zlt, https://t.co/dMXnUWnmKY #elections #map #D3 #QGIS #alegeriprezidențiale2019
By MapTheClouds (@maptheclouds)
Day 19 of #30DayMapChallenge: urban Christchurch (and surrounding areas) wastewater network in brown, water treatment plant in yellow. Data from LINZ and Canterbury Maps https://t.co/8Fq6l4H0en Code: https://t.co/0JNIgmrLJo
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge - Day 5: Raster I used data from BNPB (InaRISK) that showing earthquake risk index for Sulawesi Island. Red for high risk and green for low risk. Made with @qgis 3.10. Data: - Earthquake Risk Index from InaRISK BNPB - Coastline from OpenStreetMap #QGIS
By Adityo Dwijananto (@adisadit)
Horse riding tracks in Helsinki. #30DayMapChallenge 2. Lines Code: https://t.co/fg4zUm1CQJ #ggplot #sf
By Tuija Sonkkila (@ttso) in Finland
Day 8: Yellow #30DayMapChallenge licensed sand and gravel extract areas in the North Sea. Data: https://t.co/2j2bX63CqV (NGR)
By Leo (@hendrikxleo)
Dau29 #Experiment #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge 30. Home - A selection of EU Institutions buildings in Europe -info: https://t.co/Y0u06Tt0my Worldwide EEAS: https://t.co/Ah4ifQZ7AF contributions by @EU_Eurostat E4 #GISCO Team - 0days2go - We are done! Thx2 @tjukanov for organising the challenge
By hannes reuter (@hireuter)
Day 1 of #30DayMapChallenge - Primary market yards in Telangana state Made in https://t.co/CkLpBNYEQV, data from Telangana open data portal https://t.co/YDYknkD1Vj
By Bhanu K ¯\_(ツ)_/¯ (@thoughtisdead)
#30DayMapChallenge 12 - movement strava data into @tableau "animated" in pages was a hot day hence the 😝
By A. D. Mac (@AdiBop_)
Day 5 of the #30DayMapChallenge and I made a land cover map of London using the CEH's LCM 2015 raster dataset. I also calculated the total area of each land cover in the city. #London #Raster #GIS
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge days 23-24 population & statistics: exploring 1 km x 1 km population grid by @Tilastokeskus. Yellow map: 0-14 years age group bigger than 65+. Purple map: 65+ age group bigger than 0-14.
By Teemu Saloriutta (@TeemuSaloriutta)
Day 20 of the #30DayMapChallenge is rural, I had hoped to be able to download a version of the Land Parcel Information System which each EU country constructs for CAP payments, but apparently (in GB at least) it is derived data and so can't be public (https://t.co/RlLS5JJRhE)
By Ian Turton (@ijturton)
#30DayMapChallenge day 18: a false color shaded relief #globe based on #naturalearthdata.
By Michel Stuyts 🌍 (@michelstuyts)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 22 (built environment): Building heights in the city of Diest, in 3D (my new house is somewhere in there) https://t.co/ZLiKncbc0R (watch out: heavy page!)
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge 11. Elevation Beaver Ponds (again!) Point cloud shows floating logs
By John O'Leary (@OLjohnel)
already am behind on day 2! My second map for the #30DayMapChallenge - Lines Bike Lanes in Brooklyn, NYC data from: NYC Open Data #bikenyc
By viv (@vivbynyc)
Day 15 names theme #30DayMapChallenge using #rstats The longest bike trail in NZ. Extra challenge involving regex which took much longer than planned. Could also pass for Day 2 lines theme
By Kim Fitter (@Kim_Fitter)
#30DayMapChallenge Day 21. Environment Quivira NWR in central Kansas is a salt marsh & sand prairie habitat along the Central Flyway. Cranes, egrets, ibises, herons... if you're a birder this place is heaven.
By Travis White (@visualvariable)
Ireland’s population mapped as one point per person. 6,572,675 points in total. Starting it easy with the #30DayMapChallenge #Day1
By Heikki Vesanto (@HeikkiVesanto)
Day 19 of the #30DayMapChallenge - #urban Created from high res clutter,UKLand, utilises UKBuildings and UKLand to create parcels of land classified by their land use. This map illustrates all the land parcels classified as a type of “Urban” class for the city of #Sheffield.
By GeomniUK (@GeomniUK)
Day 10 #30DayMapChallenge (Black & White) - Mt Taranaki, New Zealand. Part two for Day 11 to follow tomorrow!
By Andrew DC (@andrewdc_nz)
Día 19 #urban en el #30DayMapChallenge, número de días que la concentración de #ozono excede los 120 µg/m³, de la estadística 'urban audit' de la UE. Mapa del mundo y datos de @EU_Eurostat
By Pedro Suárez (@pedro_com_es)
Day 9 of #30DayMapChallenge – Yellow. Went an extra step from Day 1’s Dunkin map…. There’s 200+ McDonalds in NYC, and most of Manhattan and The Bronx are within a 10 minute walk from a location.
By ಠ_ಠ (@DeniseDSLu)
@jdatap @jmcastagnetto #30DayMapChallenge with #rspatial 17/30. Zones. The Loire-atlantique department is divided by Loire river 💦so that there is "Nord-Loire" ⬆️ and "Sud-Loire" zones ⬇️. To me, Loire estuary is also the good latitude to cut France into North-South... What about the World?🌍#rstatsFR
By Sébastien Rochette (@StatnMap)
For the final #30DayMapChallenge — "Home" — I looked at those w/o a 🏚 in 🇺🇸 using data from @USICHgov as this is one of the most (literally) overlooked populations. #rstats {sf} {geofacet} {albersusa} {ggplot2} Code up in a bit + 2 chapters done so far for the promised 📗!
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge #day5 #rasters #flooding #Arkansas #2019 inspired by @shakasom
By joshua sumers (@joshua_sumers)
Day 13 of #30DayMapChallenge: tracks Request: Kiddo asked me for literal tracks in Paris: railway (blue), metro (yellow) and light rail (pink). I added a 1980s vibe with neon colours and Still Time font. @openstreetmap data + #Rstats
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Day 2 of the #30DayMapChallenge -- LINES One attempt by M McCormick et al. (2013) to catalogue all the Roman roads in a shapefile. The reality is a lot more complex than my slick metro maps!
By Sasha Trubetskoy (@sasha_trub)
#30DayMapChallenge - Day 6 - Blue - Testing spatial interpolation methods for the F-parameter of the Johnson-Woodward method in estimating solar radiation from sunshine duration data. https://t.co/pkZU0Wvd9S
By Dave Miller (@raveydave76)
Day 16 of the #30DayMapChallenge - Places. I categorized historic places in NZ and mapped them. (Note that those labelled NA or not in any of these categories have been removed). Still not sure what a Battery is to be honest but apparently we have quite a few 🤷
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Dia 7. Rojo 🖍. El sistema circulatorio de #Colombia 🛣. 🔴 Tipología de vías ⚪️ Centros poblados Con datos @igacColombia @DANE_Colombia @GobDigitalCO
By Oscar Javier Espejo (@ojespejo)
#30DayMapChallenge 7. Red: all roads in Estonia
By Evelyn (@evelynuuemaa)
All operating surface and underground coal mines in the United States (or lower 48 states). Point size scaled based on total coal production. A total of 680 coal mines still in operation. Data: https://t.co/mPdfdy3UOp #30DayMapChallenge: Day 27. Resources.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge 13 - Tracks "Wood Warbler Bird Migration Tracks" @Mapbox @tableaupublic viz: https://t.co/dRVQUVf1rC
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge - Day 16 Places, inspired by @williamscraigm's map of GB/US place names, I was finally motivated to make a map I always think of when I'm driving on the East Coast of the US. This map shows US places (within 20km of coast) that share a name with a GB place <5km
By Ian Turton (@ijturton)
#30DayMapChallenge #Yellow From our collection: Flow lines show movement of crude oil ( dark brown) and refined oil (yellow) by pipeline or tanker to the East coast of the U.S., Europe, and other parts of the world. "The world according to Standard (N.J.)." 1940. #infographic
By Leventhal Map & Education Center at the BPL (@bplmaps)
Raster day: Revisiting one of my earlier ramblings with Lidar, CHM, and a storm named Kiira. Trying to map areas where trees fell due to the storm. Data: @HelsinkiKymp #helsinki #keskuspuisto #kiira #myrsky #mylväys #30DayMapChallenge
By Faris Alsuhail (@AlsuhailFaris)
@jdatap @jmcastagnetto #30DayMapChallenge with #rspatial 20/30. Rural. Where are AOP cheese cities in France? 🇫🇷🧀 Cows🐄, goats🐐 and sheeps🐏 require rural areas to be bred. 🌐Globe animation with {tmap} and {magick}, a little better than the one above 🔝(15/30)... #rstatsFR
By Sébastien Rochette (@StatnMap)
Day 10 of the #30DayMapChallenge. The 10 brightest stars in B&W inspired by one of my favourite trips to the South Island See code here in #rstats https://t.co/KqVAK0NR0f
By Kim Fitter (@Kim_Fitter)
Day 21 of #30DayMapChallenge – Environment: Auckland's Regional Parks
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 1: Most reviewed eating places in Tbilisi
By Anto Aasa (@antoaasa)
#30DayMapChallenge - day 11: elevation Hillshade map of the sunken German submarine UB-29 that went missing in 1916 and was later discovered in front of the Belgian coast, to honour #ArmisticeDay . 👉 Source: @jmeesvliz. 👉 Discover available bathymetry datasets: @kustportaal
By Britt Lonneville (@BrittLonneville)
#30DayMapChallenge Day 23: Population. Downtown Helsinki is a popular place to live in most age groups but especially when you are around 30. Source: Population grid of Helsinki metropolitan area @HRInfoshare Code: https://t.co/gzu0Dncmk1 #rstats #sf #tmap
By Tuija Sonkkila (@ttso) in Finland
Visualising countrywide gold reserve w/ data from @tEconomics - for #30DayMapChallenge https://t.co/B4vw6Il0W1 White for no data, USA has the highest reserve - followed by Germany. There are also 7 countries including Canada with zero gold!
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge #Map_19 Urban #Lleida #Aigua Fa uns dies vam anar a @escolapaisosca1 i vam explicar el dipòsit de l'aigua de Lleida i la ruta de les fonts. @paerialleida @turismedelleida
By Ignasi Servià (@iservia)
Dia 14: Boundaries. Conques hidrogràfiques dels principals rius definits a l'article 3 de la Directiva Marc de l'Aigua i subconques de la xarxa hidrogràfica bàsica. Main watersheds in Spain. Data: miteco.gob #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
There are lots of boulders in Estonia (2358), many of them have names (1229) - here they are on a map #30DayMapChallenge - day 1 is point data.
By Zlata Popelnuh (@popelnuhh)
#30DayMapChallenge Day 26: Hydrology. Watershed of the river Vantaa, plus #Helsinki region waterways until Gulf of Finland. Code: https://t.co/boVfpTYLUt Data via @SYKEint VALUE @HRInfoshare #rstats #sf
By Tuija Sonkkila (@ttso) in Finland
Day 13 tracks "Mapping quiz formula 1 season 2019" #30DayMapChallenge (low resolution here, see the repo https://t.co/l7QsKoKRdK. Be careful as I provide also the answers :) #F1
By Thomas gratier (@ThomasG77)
#30DayMapChallenge Day 29: Experimental. Yet again hardly any time to do anything other than my first quick dabble at lego-esque brick styles
By Sam J (@samwise_v)
#30DayMapChallenge 9. Yellow - Yellow River Basin, China
By Shannon Gonzales (@yavannie24)
Day 22 of #30DayMapChallenge: built environment Urban Forest of Chimbarongo, #Chile | Bosque Urbano de Chimbarongo. Data from @openstreetmap + #Rstats. Thanks to @openmapchile for getting that data there. https://t.co/ZIGnvTPQ04 Code: https://t.co/LsETphbdfY
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 22 #BuiltEnvironment 🏘️ Zonas metropolitanas en México #QGIS
By Carmen Carro (@CarmenCarro_)
🗺No.9 A combination of graphs and spatial information using geographical facets. I visualized the annual power demand between prefectures in Japan, taking into account the spatial arrangement. 🦉 Code: https://t.co/cmN1WwAi87 #30DayMapChallenge
By Uryu Shinya (@u_ribo)
#30DayMapChallenge Day 3: Polygons A viz of a Public Transport Availability Indicators at both the stop/station and small area levels across GB which takes account of both service frequency and service area made by @UrbanBigData showing Glasgow https://t.co/sb4lskc30F
By Nadiia (@NadiiaGorash)
Happy #GISDay (@gisday)! I’m half Danish, so I’m celebrating with a map of #Denmark for day 13 of the #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge day 14: Boundaries #rstats
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge DAY 17. Zones -Cities and commuting zones, 2018 - Do you recognize your region? - info at https://t.co/xSZT3BRhEp - vis at https://t.co/QwdwsacuDN - joined contributions by @EU_Eurostat E4 Team - 13days2go - #GISCO #REGIO
By hannes reuter (@hireuter)
DAY13 #track #gps #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge Day 30. Home. Done🥳. This was exhausting but fun :) Here is my home. Home is a place to relax and work. And during the summers I try to maintain the garden. The map is a revision of my garden map posted earlier this year. Some things have changed since then :)
By Sanna Jokela (@SannaJokela1)
Spending next few days promoting @OSGeo and #FOSS4G at @GIS_Expo, so this is my contribution for today’s #30DayMapChallenge 🌎
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge: Day 21 environment. Average temperature for 2050 in Colombia. The source of data is https://t.co/4GvrAT8hvb #rstats #ggplot
By Gustavo Ahumada (@Gustav_Ahumada)
#30DayMapChallenge Day 4: Hexagons - Density of Grade 1 (Category A) Listed buildings around Great Britain #HistoricEnvironmentScotland #HistoricEngland #CADW #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge 11. Elevation - “chalk” contours of Mt. Logan, Yukon Canada
By Shannon Gonzales (@yavannie24)
#30daymapchallenge Map_30 Home. MDE 2x2 sobre riera Mas Pujols. El post @iagua no podia ser otro El agua de tu ciudad, Sol Cambrils Park. https://t.co/kt7YTeKxtF Ayer, 40 días después de las inundaciones, llegó la luz a los apartamentos.
By Ignasi Servià (@iservia)
Day 10 of the #30DayMapChallenge - #BlackAndWhite Delving into the archives we found some immediate post-war, high resolution imagery by RAF showing bomb stricken areas just east of Kings Cross, London. Most of the ‘hits’ shown in the image are on Collier Street.
By GeomniUK (@GeomniUK)
#30DayMapChallenge 1. Points Past 30 years of earthquakes in & around Aotearoa New Zealand. Brighter means a higher-magnitude earthquake. Kermadec-Tonga trench in NE. Point data from @USGS; island shapes copyright @openstreetmap contributors; made with @qgis #mapmaker #pacific
By David Garcia (@mapmakerdavid / 𝐌 𝐀 𝐏 𝐌 𝐀 𝐊 𝐄 𝐑) in New Zealand
#30DayMapChallenge 26: ūdeņi. 37500 km Latvijas upju pa valsts robežu var izvīties apmēram 20 reizes. https://t.co/hpiaqtMFaK
By Zane (@atdodkonfektes) in Zane Atstāja
MY contribution to #30DayMapChallenge Day 23. 3D Map Model of Microbreweries in Ireland / 100,000 people and resultant 3D print.
By Shawn Day (@iridium)
For today's #30DayMapChallenge "Environment" I charted the impact of sea level rise on my very own habitat using #rstats {sf} {tigris} {patchwork}. Source code will be up once I yet-again figure out how to best deal with big honkin files). Areas in 🟥indicate impact zones.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 4 (hexagons): Protected areas on the 3rd Rock from the Sun. Source: https://t.co/jOy65S0ty6 Tools - #rstats #dggridR
By Kristijan Bakaric (@kbakaric1)
#30DayMapChallenge Day 11 - Elevation La #Corse en mode #JoyDivision
By ArtisansCartographes (@Artisans_Cartos)
#30DayMapChallenge (challenge from @tjukanov) Day 07 - Green Résultat d'Europe Ecologie Les Verts (@EELV) aux élections européennes 2019 données @datagouvfr
By ArtisansCartographes (@Artisans_Cartos)
For #day19 urban theme @kahosford used 2001-2016 census data to map cycling mode share in 4 #urban areas in Canada. Here is Vancouver's progress over the past 15 years #yvrbikes #30DayMapChallenge
By INTERACT (@TeamInteractCA)
#30DayMapChallenge nr. 5: raster. Een oude kaart van het Korps Luchtwachtdienst verwerkt tot GIS-bestand (met luchtwachttorens), daarna verwerkt tot tiff/tfw voor de Kaart van Verdedigingswerken (op https://t.co/eAOLE8wXNK) @luchtwachtKLD @OttoBrinkkemper
By Bart Broex (@bbroex)
Para el día 25 del #30DayMapChallenge, clima, calentamiento global desde 1960. Mapa del mundo de @EU_Eurostat y datos de @BerkeleyEarth.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Día 14. Límites. Diferencias en demarcaciones municipales entre el INEGI y el Mapa General del Estado de Jalisco, 2012. Actualmente está en el Congreso Local una iniciativa para crear la Ley de límites territoriales de los municipios del estado de Jalisco.
By IIEG Jalisco (@IIEGJ)
Day 24: Statistics “42.7% of all statistics are made up on the spot” – Steven Wright. He wasn't alone in making this joke. 27,346 recycled variations of it with different percentages on twitter between 2007-2017. Workings & data: https://t.co/dToUdl0Yj2 #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge 3. Polygons Let's go back time, and find out what 'Ye Olde Low Lands' looked like back in 1812! With the dropdown menu, you can also toggle to 2019 to view the current municipalities. Interactive version 👇🏻 https://t.co/Eo0dvlPzbw
By LocalFocus (@LocalFocusNL)
Going a bit off the wall for the "Places" theme of the #30DayMapChallenge — here's the places where I have lived. Basically, it's a collection of sketchy little traces of each house or building I've called home... roughly to scale.
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 25: Climate - Mangroves vs Hurricanes Mangroves have the ability to lessen the impact of flooding caused by hurricanes (reducing storm surges by 26-76%) BUT they are in an annual decline globally.
By Christopher Pollard (@CRVanPollard)
Day 5 of #30DayMapChallenge - Raster Playing with @mapbox
By Kovács Ivett (@IvettAlexa)
Day 20 of the #30DayMapChallenge - #rural The red pixels, extracted from our national clutter 20m raster dataset, represent Agricultural Buildings in the Belfast area. The dataset was created to support the telecoms market to help with the distribution of 5G phone coverage
By GeomniUK (@GeomniUK)
#30DayMapChallenge 30. Home - buildings of Tartu by their footprint elevation above the sea level and color schema 🇪🇪🇪🇪🇪🇪 because Estonian-language university celebrates its 100th anniversary today 😊 @unitartu Happy anniversary! 😀
By Evelyn (@evelynuuemaa)
Day 11 of #30DayMapChallenge is terrain, so I had a play with the new #QGIS 3D map view, I'm still not entirely convinced that 3D adds anything to a map but it's fun to play with,
By Ian Turton (@ijturton)
and on to day 3's polygon theme for the #30DayMapChallenge NYC Sidewalks with Trees! data from: NYC Open Data
By viv (@vivbynyc)
I didn't want to spend a lot of time on the computer on a lovely fall day. But my watch helped me still make a "Line" map for the #30DayMapChallenge. The colors of the line have something to do with heart rate or effort. But they look fall leaves so I'm into that.
By Riley D. Champine (@rileydchampine)
De acuerdos con cifras del #SESNSP, con corte al 30 de octubre de 2019, #Veracruz registró una tasa de 3.37 presuntos #feminicidios por cada 100 mil mujeres. Los municipios en rojo registran una tasa municipal mayor a la media estatal. #25N #30DayMapChallenge
By Marcela Dolores Guerra Osorno (@osornomarcela)
#30DayMapChallenge Day 8: Green - Greenspaces in Edinburgh #osopen #opensource #greenspace #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge 3. Polygons LINZ building outlines capture made with #QGIS using a mask for the inset thanks to @underdarkGIS tutorial
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 13 #Tracks 📍My locations saved on Google Maps #QGIS #Python
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 14: Boundaries 🚧 I've tried a few things related to #mauerfall30 but either the data wasnt available or the idea did not work 🤷 ♂️ Instead, please enjoy this simple global map showing the number of neighbors sharing land borders together #ggplot2 #rstats
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 17 - Zones: Libraries! Isochrone map of 5 and 10 minute walking distances to DC public libraries.
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge 7 - red had so much fun with london in blue i did it again for amsterdam basing the centre of the buffer as the middle of de wallen...the red..light..district...🤦 ♀️ left the base layer in @tableau this time. whatchu think? check - https://t.co/62RX0cJ9Ud
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 26: Hydrology. Quickly cobbled together some Tuscan waterways and rivers in #qgis
By Sam J (@samwise_v)
#30DayMapChallenge Day 24: Statistics. Bivariate comparison of home value and income for the United States.
By Craig Williams (@williamscraigm)
Ridge _Line_ Plot, lines from Digital Elevation Model from LIDAR data from City of Helsinki. This small island is called Porsas (Piggy) #30DayMapChallenge #pink #helsinki #joyplot #ridgelineplot Data: @HelsinkiKymp
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge 19: Urban I took the commuter rail #map from Day 2 and added the @USGSLandCover data to it. (Also added the NHS line in CT). Really neat to see how population centers line up with the tracks - a real-life "which came first". This is one of my favorites :)
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge Cuartil 1 de municipios de la tasa de mortalidad acumulada por Diabetes Mellitus Tipo 2 en el período 2010-2015. (Hombres y mujeres de 45 años y más) @SantaellaJulio
By Oscar Juarez (@OJuarezFlores)
Day 11 of #30DayMapChallenge: elevation. Santiago, #Chile. Mordor denotes location of government house. #RenunciaPiñera NASA Earthdata 30m raster, contour lines every 25m (upto 1000m) then every 50m (to avoid black mess). Code: https://t.co/mDgNaJjPcy
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 10: Black and white Elevation map of South America
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
7. Red #Philippines in bloody red. #30DayMapChallenge #gischat #Geology #gis #carthography #geography #dataviz
By ⛄ Sir MarcNeil Amandy ❄ (@MarcusNeil)
#30DayMapChallenge Map_26 Mapa de conques hidrogràfiques principals de Catalunya. (2008). El post @iagua que comparto es Sintesis del proyecto Trivers. @aigua_cat https://t.co/f0QaMdbkG9
By Ignasi Servià (@iservia)
The #30DayMapChallenge is great excuse to create that dot density map of the 🇪🇺 2019 European Elections that I've been meaning to create. Twitter friendly 1200x675 px here, details and link to high resolution in next tweet 👇 https://t.co/0DOfhfk5GE
By Arnold Platon (@Arnold_Platon)
#30DayMapChallenge. Day 2-nd Lines Population density in Europe (2000)
By Denis Krivoguz (@pony_mapper)
Perditaj-trovitaj objektoj en la stacidomoj de Francio en 2018. #30DayMapChallenge Tago 24 : Statistikoj #Esperanto
By Reĝa Ardeo (@RegxaArdeo)
#30DayMapChallenge Día 5: raster Definición teórica de los departamentos de Colombia si el territorio fuera asignado a la capital de departamento más cercana.
By Colombia en datos (@col_en_datos)
#30DayMapChallenge Day 22: Built environment. If all other lights were off in #Helsinki except those on the bridges and overpasses. Data via @HRInfoshare Code: https://t.co/69VCfVZIju #rstats
By Tuija Sonkkila (@ttso) in Finland
Day 5 of the #30DayMapChallenge - #raster Detailed 2m resolution land-use data of #Nottingham used by Network providers to plan 5G coverage. Different colours represent different classifications of land and densities of buildings and building use.
By GeomniUK (@GeomniUK)
#30DayMapChallenge - day 16: places #DYK that we integrated @NRCan's gazetteer within @marineregions last summer, resulting in over 3000 new places? Some of the more surprising newcomers: Breakheart Rock, Old Horny and the aptly named No Name Shoal 🌎 👉 https://t.co/Y61crmtQuL
By Britt Lonneville (@BrittLonneville)
Day 2 of the #30DayMapChallenge "Lines" #ldsi #gisp #charlottesurveyors
By LDSI, Inc. (@LDSISurveying)
Forgot to post this on Monday: #30DayMapChallenge Day 12: Elevation - 50m contour map of Great Britain #contours #osopen #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
Day 9: Yellow Solar irradiance across the US with Hawaii inset, showing potential for renewable solar energy generation. Oh, and emojis. Workings & data: https://t.co/m6lVAfZUNv #30DayMapChallenge
By Jo Wood (@jwoLondon)
Late to the game #30DayMapChallenge day 3 polygons (normally 11 for the others...) Small multiple for countries using QGIS Atlas again and Imagemagick utilities
By Thomas gratier (@ThomasG77)
#30DayMapChallenge 10. Black and White: drainage (white) in Estonia
By Evelyn (@evelynuuemaa)
My first map of the #30DayMapChallenge! Raster maps of precipitations in two Colombian regions. #Guajira a desert area and #Choco a region with high precipitation levels. #rstats #ggplot
By Gustavo Ahumada (@Gustav_Ahumada)
For day 14 of #30DayMapChallenge boundaries, this is a map of the only border clearly visible from space, between North and South Korea. The change in light is unmissable.
By Ian Turton (@ijturton)
Day 1 of the #30DayMapChallenge // Points! Connecting the dots: Moves data from 2017 https://t.co/Q30ZcPLcqO #BuiltWithMapbox
By Rafa Gutierrez (@geografa)
En el mundo, millones de agricultores cultivan cientos de cultivos en más de 1,600 millones de hectáreas cada año. 👨 🌾👩 🌾 En cada región, la dieta y la vocación productiva son diferentes. 🌽☕️🍇🥔🍞🍌🍚 ¿Sabes cuál es el principal cultivo en cada país? #30dayMapChallenge
By AgroDer (@AgroDer)
#30DayMapChallenge day 6 - blue. Year 2150, Sardinian archipelago
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 12: Movement Outcoming/ incoming commuters in Austria per municipality #STATatlas @STATISTIK_AT https://t.co/CCo4dI49yQ
By g.katz (@knozi1)
Wind speed over the pacific on a week in '96. #30DayMapChallenge Day 18: Globe
By Ariel Kadouri (@akadouri)
#30DayMapChallenge 1. Points Dot map of crop types in France Each dot represents a plot registered with the CAP (EU) Made with #QGIS
By Romain Lx (@lacxrx)
@OrdnanceIreland @GovDataIE Day 14: I've tested the cartography package by @rgeomatic (https://t.co/Mh1AH2cKr7), definitely something to explore!! Code: https://t.co/y6OcXWFQGW #30DayMapChallenge #rstats
By Javier Elío (@Elio_Javi)
Testing Wurman dots. #30DayMapChallenge
By emil (@57x025)
#30DayMapChallenge Día 25. Clima. Según la SEMARNAT los incendios forestales son una fuente importante de emisión de carbono, aquí encontrarás información sobre ellos durante los últimos años en el estado de Jalisco https://t.co/zTykOr11Mr
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 4 - Hexagon just France (metropolitan part)
By Gaëlle (@Gaelle_Sutton)
I cheated a bit for Day 7 (reds) of the #30DayMapChallenge and made a more sensible map of the internet than the human geography-based ones using https://t.co/IR3SjKfL8d
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
China's Yellow River Delta - sediment swept down the river constantly builds and rebuilds the mouth of the Yellow River. #30DayMapChallenge - yellow! https://t.co/yJznUUdr0f
By gmapsmania (@gmapsmania)
#30DayMapChallenge 16. Places Today i want to map cities cultural vibrancy (infrastructure)🎨 data:OSM #Cairo🇪🇬 >20M people; <100 art places #Berlin🇩🇪 3.7M people; >4000 art places #dataviz #maps #ggplot #rstats #Germany #Egypt #arts #culture #museum #sdg11 #theatre #heritage
By Olga Kononykhina (@bettermeasured)
Day 25 of #30DayMapChallenge, Climate, change in average monthly November rainfall between 1979 and 2018, blue is an increase, yellow is a decrease. Copernicus reanalysis data. Stitched together unfamiliar packages and data to learn to work with it, code: https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge Day 13 - Tracks: I call this masterpiece 🙃 "Typhoons and Tropical Storms Named Tim" (just playing catch-up here!)
By Tim St. Onge (@TimStOnge)
@DESCIFRA HQ radio 750. Población flotante y tráfico histórico Day 30: HOME #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Green Kharkiv. Day 08: Green #30DayMapChallenge Data: #OpenStreetMap contributors
By gontsa (@gontsa)
#30DayMapChallenge Day 15 Names - name origin of prefectures in Japan (wiki: https://t.co/G8X6PxZJwu) - was hard to put all texts in one page, so decided to pick out keyword using #tidytext, and place it on the map . #rstats code: https://t.co/jVVpUOaRoE
By Chisato (@chisatini)
#30DayMapChallenge 12: Movement. Migration into southern New Castle County #Delaware as seen by changes in @USGSLandCover 2001-16. They were very small towns until c. 1995 then growth explosion started. #Map made in #QGIS and GIF made in GIMP. I really love how this turned out!
By Philip Pierdomenico (@PhilPierdo)
Day eleven of the #30DayMapChallenge (elevation)... Breaking down the elevation of each #MLB stadium. #Coors
By Daren Willman (@darenw)
En tiempos de guerra.. 😏❣️🙊 Day 28: Fun #30DayMapChallenge #lovepredictinglocations #BigData Moteles (DENUE) en la #CDMX
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge - Day 24 - Mapping Census 2016 ED statistics for one-person households and children born after 9/11 as % of ED households/populations. Interesting to see one-person households are basically not a thing in Dublin commuter belt and just how many born post-9/11.
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge Day 1⃣7⃣ Zones: Seismic risk zones of Italian municipalities: a map that is unfortunately well-known in Italy 😔 Data from the Italian National Geoportal: https://t.co/nSSXNeKFDc Map design: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge - Day 18 Globe. If I ruled the world? Maybe I'd try and reshape it in my image? So for today's challenge I took an image of myself, polygonised it and slapped into onto a globe. Hmmm not very recognisable
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Day 30: Home. Not an home made map, thanks @IGNrando to make my hicking projects possible. Home is definitely where the heart is.
By Alice Caron (@Alice_Caron_)
Day 3 of #30DayMapChallenge Polygons! In honor of Election Day tomorrow, Esri’s 2019 party affiliation layer showing areas where people vote (dark blue) and where they don’t (light green) in Philly. Go vote!
By Jessica Hammond (@jh550)
Day08 - #green Three map of Milan #milan #30DayMapChallenge @tjukanov #gistips #cityplanner #geospatial #qgis #postgis #leafletjs #wordpress #gischat #geography #cartography #dataviz #gistipster
By PJ #GISTonicker (@pj_go_2020)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 23 (population): Composition of the Population of Brussels, between Belgian, EU and outside of EU nationalities. Definitely needs more work and explanations, but, hey, we're doing one map a day (and I think this is already a nice result!) cc @karim_douieb
By Maarten Lambrechts (@maartenzam)
Day 6 blue #30dayMapChallenge Apparently Australia has the most backyard pools of anywhere in the world. I looked at satellite images to see if I could extract blue pools but no idea, they're so small. So here's swimming for everyone & Sydney Harbour which isn't really blue.
By Kylie Wilson (@_kyliejane)
What happened to all the trees in Sweden and Finland? 🤔 #30DayMapChallenge Day 8: Green Data: https://t.co/oBH3A72DCd #globalforestwatch #maps #dataviz
By Jon Olav H. Eikenes (@jonolave)
#30DayMapChallenge Día 29. Experimental. Concentración de NO2 (dióxido de nitrógeno) en la atmósfera sobre el Área Metropolitana de Guadalajara. Captada por el satélite Sentinel 5 de la Agencia Espacial Europea.
By IIEG Jalisco (@IIEGJ)
How big is the Austria city of Graz when it comes to regional elections (that happen to be today)? Find out yourself: https://t.co/wFJRuQfWcr #30DayMapChallenge Day 23: population. Thx @metropop_eu for the tip
By Flooh Perlot (@drawingdata)
Looking at things from a different angle on day 6 of #30DayMapChallenge.
By Topi Tjukanov (@tjukanov) in Finland
Norway's oil and gas activities in vulnerable areas #30DayMapChallenge Day 3: Polygons
By Jon Olav H. Eikenes (@jonolave)
For this #30DayMapChallenge #⃣2⃣7⃣ I visualize an essential Resources for many people 🍺. Made with #rstats
By Philippe Massicotte (@philmassicotte)
#30DayMapChallenge Day 15: First Names of newborn babies in Austria since 1984 #STATatlas @STATISTIK_AT https://t.co/1A76tITAdk
By g.katz (@knozi1)
Day 2 of #30DayMapChallenge – Lines: The Longest Walks in New Zealand The longest straight lines you can (theoretically) walk on both islands without crossing a road or a lake.
By Andrew Tyrrell (@SouthArrowMaps)
@prefet59 @Place_Beauvau #30DayMapChallenge Day 30 : Home - Charleville-Mézières, avec les données #OpenStreetMap #QGIS #OpenData
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge Day 29: experimental
By Topi Tjukanov (@tjukanov) in Finland
#30daymapchallenge Green. The number of frog and toad species by state. Because, Kermit!
By Barbara Kent (@SDGeoGirl)
#30daymapchallenge Day 05: raster Calbuco and Osorno volcanoes Región de Los Lagos, Chile (Alos Palsar DEM, 2011)
By Mauricio González (@magonza9)
#30DayMapChallenge Day 26 - Hydrology: Our #GIS aficionado @ian_usher1985 using #CadcorpSIS and @OrdnanceSurvey #OpenRivers data, shares GB rivers by length. Shortest are blue, longest are red.
By Cadcorp (@cadcorp)
I’m super excited to finally get to mess with hexagons! Here’s day 4 of the #30DayMapChallenge, showing pub densities across Ireland
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge 🗺️ Day 2: lines Elevation map of Bosnia and Herzegovina, in Joy Division's "Unknown Pleasures" style. 🇧🇦 🎶 Data: SRTM 🚀 Tools: #rstats #rspatial #ggplot2 📈
By Mirza Cengic (@mirzacengic)
Day 17 of the #30DayMapChallenge the theme is 'zones'. Based on some recent reading; I've visualised the change in Bangladesh's EEZ from 2009-2018 allowing access to the Indian Ocean via the Bay of Bengal for the fishing fleet after agreements with Myanmar (2012) & India (2014)
By Beth Jackson (@BethJackson1x)
#30DayMapChallenge - Day 7: Red // Building hights of Vienna. Data: @ogdwien @datagvat
By Valentin Schalk (@SchalkValentin)
@ECMWF @CopernicusEU Day 29: Experimental. I've been playing with map projections 😀😀 Code: https://t.co/y6OcXWFQGW #30DayMapChallenge #rstats #rspatial #ggplot2 #sf #maps
By Javier Elío (@Elio_Javi)
We've got some new beautiful maps up on https://t.co/8f46GjZWtq for day 23, 24 and 25 for #30DayMapChallenge, covering the themes of "statistics", "population" and "climate" #datavisualisation #locationIntelligence #dataanalytics
By Emu Analytics (@emu_info)
Day 17 Zones #30DayMapChallenge Polarité des communes (reprise nomenclature INSEE aires urbaines) Bonus: génération arrondissements, EPCI, aires et unités urbaines, bassins de vie, zones d'emploi 2019. Beaucoup de temps sur le pré-traitement avec Geopandas moins sur le rendu…
By Thomas gratier (@ThomasG77)
Piano Manufacturers of the World (more to be added!) #Piano #GI @GIS4Schools @geogologue #MusicTeacher #GeographyTeacher #30DayMapChallenge #BLACKANDWHITE @tjukanov https://t.co/FLld24hwVl
By BC (@mildthing99)
Day 17 of the #30DayMapChallenge is "Zones". Here's the No Fly Zones for the District of Columbia. Thumbs up to https://t.co/h580lgI1k0 for making our spatial data so easy to find. Whew... now I'm caught up. #cartography #map #DC
By Riley D. Champine (@rileydchampine)
The #30DayMapChallenge today is about names. So I figured I’d re-use a typographic map I had made of Ile de la Cite and Ile Saint-Louis in Paris. All text placed by hand, takes time but I love to do it that way. I feel the output quality is a lot higher. #lovemaps #cartography
By One Stop Map (@onestopmap)
Day 9 yellow "Production mondiale de citrons et limes en 2017" (World lemons production in 2017) Utilisé la projection Gall Peter plutôt que Equal Earth (bug...) 2 install QGIS: système: pas Equal Earth; conda oui mais bug insertion HTML pour table #30DayMapChallenge
By Thomas gratier (@ThomasG77)
#30DayMapChallenge Day 29: Experimental played with the lego style but fixed my draw order in #QGIS so it looks like the higher blocks are stacked. Also learn not to use map units with the drop shadow as it slowed the rendering down, but mm was very quick.
By Pete King (@Generally_Geo)
#30DayMapChallenge 3. Polygons Proportion of green spaces in big cities around the world 🌿 I used @Mapbox Studio to style and highlight parks and woods. Then I analysed the proportion of green in the image using this nifty tool from @MKrzywinski https://t.co/WPyytAKfji
By Karim Douïeb (@karim_douieb)
#30DayMapChallenge Home. *Final* plans for the front yard's new plants. I did 10 maps forcing the challenge, which is more than the one per week I was hoping to do. A fun challenge and great learning opportunity!
By Barbara Kent (@SDGeoGirl)
#30DayMapChallenge Day 14: Boundaries There are not only physical but also social boundaries / No hay solo barreras fisicos, sino también sociales Boundaries between households of high and low incomes in #Santiago
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 21: Environment Plaza Italia and Plaza `dignidad`
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Protected areas in Volyn region, Ukraine. Based on Openstreetmap contributors data #30DayMapChallenge Day 21: Environment Data: #OpenStreetMap contributors, #qgis
By gontsa (@gontsa)
#30DayMapChallenge Day 10: Black & White Wanted to play around with the 3D viewer in #QGIS
By Pete King (@Generally_Geo)
#30DayMapChallenge 12. Movement: Monday morning flights from and to Tallinn airport
By Evelyn (@evelynuuemaa)
🙌🏻 #30DayMapChallenge #Raster I En Chapinero, Los Mártires, La Candelaria, Antonio Nariño y Barrios Unidos se concentran la mayor densidad de establecimientos comerciales en la capital. Conoce nuestro mapa raster aquí 👉🏼https://t.co/ZvK4zbRE0o #LaIDEdeBogotá
By Catastro Bogotá (@CatastroBogota)
#30DayMapChallenge día 2, líneas... También ta viejito, pero jala... Red de caminos en la zona metropolitana del valle de México, Puebla y Morelos
By Irving MA (@moaimx)
#30DayMapChallenge Day 6: blue Trucks (veh/h) in west Sao Paulo BONUS: Updated the cptcity R Package to easily manage rgb compositions: #rstats #atmoschem
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Day 14: #30DayMapChallenge. District boundaries of Ghana @geospatialwomen
By AB Ansah (@Ms_Pixels)
#30DayMapChallenge 8 - green Used #alteryx and @tableau to select out and style green space in London from OSM data. LDN sits at about 10th in the world for accessible green space. Not bad. Could be better :) https://t.co/ZE5fq6Kp6p
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Día 20. Rural. Esta es la frontera agrícola en el estado de Jalisco.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 24. Statistics. Finland is the promised land for summer cottages. Here are top 6 postal code areas with over 40 cottages/km2. I live in one of them (Kakskerta, 50 cottages/km2). Data: Paavo postal code areas from @Tilastokeskus. Made with QGIS Atlas tool.
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge day 5: rasters. And an opportunity to have a very quick play with some lidar data in #aerialod, hello Birmingham
By Sam J (@samwise_v)
Day 9 of #30daymapchallenge is ''YELLOW". Checkout this #map and #lesson on #VimyRidge & explore the #geography of the battle. Free #lesson download here. Q's: K12@esri.ca #RemembranceDay #lestweforget #GISchat #K12 #geographyteacher #history #teacher https://t.co/FXFgGjmeQy
By GIS for Education (@GIS4Teachers)
Day 27 - Resources: this map is showing the location of renewable energy resources in the UK. Look at that beautiful blue ocean 🌊 explore the map here: https://t.co/FZL3E3eXZ8 #datavisualisation
By Emu Analytics (@emu_info)
My only contributions to #30DayMapChallenge are for Day 23: Population. 4 Visualizations about the historical population of France from 1876 to 2015. Data from @InseeFr and @IGNFrance with @ArcGISJSAPI #esrijs 1/5
By Yann Cabon (@yanncabon)
#30DayMapChallenge Map_22 Built Environment Voltants del Embassament de l'Albagés. #2019 El model 2x2 de @ICGCat no recull la pressa.
By Ignasi Servià (@iservia)
#30DayMapChallenge Day 21: Environment - Woodland land cover within the Cairngorm National Park 2000-2018 #woodland #opensource #copernicus #corinelandcover #cairngormnationalpark #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Day 16: Places A little late, but here we go! Places of violence and death during the dictatorship of Pinochet in Chile (1973-1990) / Lugares de violencia y muerte durante la dictadura de Pinochet (1973-1990) Data available in https://t.co/Q9626qtIHa
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 10 #blackandwhite 📼💿Rental of cassettes and discs #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Jour 21: environment. Cartographie des vergers pédagogiques dans les écoles parisiennes #khartis et #Illustrator
By Marlène Dorgny (@MarleneDorgny)
@glitch @Mapbox Day 2 theme for #30DayMapChallenge was Lines. I made a map of global railroad data from Natural Earth (thx @kelsosCorner + @MtnMapper) using @LeafletJS and raster tiles from a @Mapbox style I made. (Also I'm still gonna do all 30 even if they're late!) https://t.co/swuypG1HYA
By Lyzi Diamond in New York 🍎 (@lyzidiamond)
#30DayMapChallenge Day 28 : Funny - Autour du Joker : Structures et spécialistes en psychiatrie dans le Nord #Nord #RStats #OpenData https://t.co/6SgkqEQq0f
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge 19. Urban We remixed today's theme 'urban' a little bit and made a special rap map! How many active urban-acts (read: rappers) are representing different cities in The Netherlands? Interactive version 👉🏻https://t.co/4D2Rj7mWut
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge Day 18: Globe Earth model I made in Blender. #gis #geography #geographyteacher #cartography #maps #map #blender #globe
By MyPhysicalWorld (@my_physical)
Area occupied pee building in the national University of Colombia (Bogotá) #30DayMapChallenge #QGIS #unal #Bogota #polygons (day 3 - polygons - late)
By Felipe Lancheros 🐯 (@MiniTigri)
Day 12 of #30DayMapChallenge – Movement: My movements around Auckland, New Zealand
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Jour 15 : Names Ces endroits du monde qui sont aussi des prénoms (non-exhaustif) #khartis et #illustrator
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge nr 16, "Places" en er zijn nogal wat vertalingen van. Welke woonplaatsen bevat de "jongste" gemeente van de provincie Utrecht, volgens de BAG?
By Bart Broex (@bbroex)
#30DayMapChallenge Day 27. Resources From gas-filled ground in Groningen (with all it's consequences...) to the huge fields in the North Sea: on the map below you'll find all the gas and oil fields on Dutch land and in the waters. Large version 👉🏻https://t.co/2bfN1uQ6E1
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge day 4 - hexagons. Bends the rules a bit -hexagon legend? Mixes of land capability for agriculture classes by parish. Areas of prime land (1-3.1), grassland (3.2-5.3), and rough grazing (6.1-7) converted to RGB values and mixed as a 3-band raster.
By Dave Miller (@raveydave76)
#30DayMapChallenge Day 18: Globe Density of #30DayMapChallenge tweets per country so far @googleearth #qgis @7Javier6
By David Díaz Escandón (@ddiazescandon)
Dag 3 van de #30DayMapChallenge, polygonen De statistische sectoren van Tongeren
By Vicky Verscheijden (@gis3700)
Day 16 of #30DayMapChallenge – Places: Best Things To Do in New Zealand
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge Day 6: Blue - The Hawaiian Islands Building off some earlier DEM hacking I did last year in @ArcGISPro
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge #Map_03 Polygons Como mapa de polígonos comparto el mapa de Cultivos de Catalunya 2019 (644.376 registros) que me sirvió de base para redactar mi penúltimo post @iagua ¿Y si el Canal d’Urgell dejara de producir maíz? https://t.co/pol8YiAiuo
By Ignasi Servià (@iservia)
Day 26 of the #30DayMapChallenge - Hydrology The Shape of (London's) Water This map shows 'Surface Water' across Greater London. It was created using data extracted from UKMap. Surface water includes rivers, canals, lakes, ponds and swimming pools.
By GeomniUK (@GeomniUK)
#30DayMapChallenge Day 24: Statistics Women in agriculture
By Agnès Stienne (@odilon72)
A little late, but here is my Day 1: Points #30DayMapChallenge - All forest fires in the Mexican state of Jalisco, home of Tequila, by cause of fire.
By Ernesto de León (@edeleonw)
#30DayMapChallenge | Points lines and tracks 1/2/13 | Exploring England's Steel veins in @tableau Interactive viz @tableaupublic: https://t.co/WJX2r3NaJ0
By Adam Green (@greenynorfolk)
#30DayMapChallenge 3. diena, poligoni. Latvijas digitālais reljefa modelis.
By Kristīne (@kriksine)
#30DayMapChallenge Day 5: raster Average O3 [ppm] in São Paulo with WRF Chem and VEIN between 12:00 and 18:00 LT #rstats #atmoschem
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Producción en 2018 de #tomate o #jitomate #rojo por municipio en Toneladas, el principal #Navolato y #Culiacán #Sinaloa #30DayMapChallenge Red
By Carlos Cortés (@jccpmx)
Creating backgrounds in QGIS, Tanaka Map :3 #30DayMapChallenge #QGIS #Geographer #Linestyles https://t.co/S1xtHZWkuc
By Antony.Barja (@AntonyBarja1)
Doing a bit of catch up on #30DayMapChallenge after attending #FOSS4G_SotM_Oceania - Day 14 (Boundaries): The Continent of Zealandia / Te Riu a Māui
By Andrew DC (@andrewdc_nz)
An apple a day! Foraging for the #urban cyclist: pickable fruit trees (endorsed by @CityofVancouver) along #bike routes For #day27 Resources of #30DayMapChallenge
By Caislin Firth (@CaislinF)
Day 13 of the #30DayMapChallenge - #Tracks If you have ever wondered how detailed aerial photography is captured then this entry may help. The track of the aeroplane represents each “click” of the camera on just one of hundreds of tracks that were taken over Paris in 2018.
By GeomniUK (@GeomniUK)
[EN] map of the earthquakes of the last 90 days shows the current seismic activity in #Switzerland and the nearby regions recorded by @seismoCH_D at the @ETH_en live https://t.co/fBQAua6MN0 #30DayMapChallenge #environment
By geo.admin.ch (@swiss_geoportal)
Se me fue el tiempo con temas secundarios y el mapa se quedó a medias, pero ya prefiero ir pasando al siguiente. Para el globo del día 18 del #30DayMapChallenge. Especies de mamíferos en peligro. Mapa del mundo de @EU_Eurostat y datos del @BancoMundial.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Dia 13. Rutas (#Tracks) El día de líneas subí un mapa del sistema que abastece agua a la ZMCM, ahora subo la contraparte: las rutas de desalojo de las aguas negras y el excedente de lluvias lejos de la #CDMX. #RStatsES con datos de Geocomunes.
By Juvenal (@JuvenalCamposF)
Day 15 in the #30DayMapChallenge: Names A map of CEOs that follow our account
By Tweepsmap (@tweepsmap)
#30DayMapChallenge Day 6⃣ Blue: Hydrography & Lakes in Veneto Region, North-East of Italy 🇮🇹 all derived from the beautiful Veneto Region Geoportal (license: IODL v.2.0) on top of an @openstreetmap basemap. Map created in @qgis, hope it's enough blue💙
By Marco Minghini (@MarcoMinghini) in Italy
That's some of the major chokepoints of Bangalore traffic 🚦- pulsing non-stop for #30DayMapChallenge - @silk_board @MarathahalliBrg
By Ramya Ragupathy (@ramya_ragupathy)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx 12. Movement #30DayMapChallenge This is the route from my watch of my first marathon. It was the @MaratonLala in March 2019. #QGIS #MapPorn #Mexico #Torreon #runners
By D. (@daniel_isita)
#30DayMapChallenge Day 6: Addresses in Estonia where the name contains "blue" (0.3% of total) topic: 'blue'
By Anto Aasa (@antoaasa)
#30DayMapChallenge 9. Yellow 3D mapping of Australia's Ord River. The sediment load in the water shows up as yellow in this satellite shot. Done with #blender image from https://t.co/B4ehaE1KpL
By Karim Douïeb (@karim_douieb)
Finnish municipalities with bright red color have more cows (cattle) than people living there. #30DayMapChallenge day 20: rural. Data from @LukeFinland + @Tilastokeskus
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge day 30: Home Well, I lived in Changchun, northeast China most of the time in 2019. I experienced -30 Celsius degrees and very spice food, but most important, very nice Chinese people
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Day 6 #Blue 🌏🌊 Rivers and Bodies of Water in #Colombia @qgis (Data from @ICDE_Colombia @IDEAMColombia ) #gischat #geography #rivers #ramsar
By Diego Pajarito G. (@diegopajarito)
For this #30DayMapChallenge #⃣2⃣9⃣ (Experimental), I visualize the locations where the @CanadiensMTL will play. @RDSca Made with #rstats.
By Philippe Massicotte (@philmassicotte)
Day 7 of #30DayMapChallenge. I looked at the population density of Nigeria. Areas in lighter shades of purple to white are areas of medium to high pop. density. Done using R. #Lagos, #Kano, #rstats
By Ifeoma Oti Egbogah MSc (@negbogah)
Day 8 of #30dayMapChallenge is 'GREEN'. Do you have any 'green' maps to share? We're sharing a #map & #lesson using #HDI data! Link to #ArcGISOnline #webmap below with link to lesson. Q's to K12@esri.ca and free accounts at https://t.co/WAVrI0hDXK https://t.co/ns30BCixBR #gischat
By GIS for Education (@GIS4Teachers)
#30DayMapChallenge day 18 theme is globe so I took a quick look at different projections of the world
By Sam J (@samwise_v)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb #30DayMapChallenge nr 25 (climate): Population cartogram of CO2 emissions (per capita, 2018) https://t.co/Mt48THj5YL Made with @Datawrapper
By Maarten Lambrechts (@maartenzam)
@Syracuse1848 #30DayMapChallenge Day 3: Polygons Broadband Rate by Census Tract (ACS 2017, 5-year survey) in @Syracuse1848 Data: https://t.co/X9PzwAEuo4 Code: https://t.co/6Ifx2n3Kz5 Tools: #rstats #ggplot2 #OpenData
By Sam Edelstein (@samedelstein)
#30DayMapChallenge Day4: hexagons. Data on memorial plaques could serve as a representation of cultural memory of a city. I love how House on the Embankment takes over when hex size decreases. Made in #Tableau with hexbinx() & hexbiny() https://t.co/DbEgMawFZ9 @tableaupublic
By Nina Lindell (@ninatsuts)
Jour 21 du #30DayMapChallenge, aujourd'hui on part sur « environnement ». Je vous recycle ma carte des communes touchées par les arrêtés de restrictions après la catastrophe #lubrizol à Rouen. Et puis ses camemberts aussi. https://t.co/AxTpnumi3U
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge: Resources. I've been working with three undergrads this semester on community engaged research projects. Jenny is shown here finishing quality checks on a map of resources for folks in housing transition for @SparrowsNestAth.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge -3.-Boundaries of Statistical Regions in the EU(NUTS), EFTA and Candidate countries, info at: https://t.co/pLCPyhHloa (incl video), visualisations: https://t.co/oyTOLnd48O, data: https://t.co/9rxbf8LL79 - joined contrib @EU_Eurostat E4 Team 28 days2go - Regio
By hannes reuter (@hireuter)
Cartographie de la pauvreté des ménages en France avec cette carte interactive réalisée avec les données carroyées de @InseeFr et l’outil web @mapbox. #30DayMapChallenge #dataviz #bigdata https://t.co/916LkdyGGR
By visualizemap (@visualizemap)
Day 23 of the #30DayMapChallenge - Population This map shows the density of residential dwellings in each of the London Boroughs. The lighter the shade, the less densely populated. White = less than 2000 dwellings Dark blue = more than 12,000 dwellings
By GeomniUK (@GeomniUK)
POINTS of no return. #30DayMapChallenge 01/30 POINTS Locations of 9 nearest black holes (from 3000 to 29700 light years away) in relation to the Earth. Source: Wikipedia https://t.co/Wp9236Gevh @nasa @isro #blackholes #astronomy did i get this right?
By Vaibhav Bhawsar (@voybhav)
For today's #30DayMapChallenge I'm doubling down on my land cover #maps from a few days ago. This is #Vermont which has a lot of elevation and very few people, one of the most beautiful places I've ever visited. Data from @USGS @USGSTNM made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
@tjukanov As promised, here is the hexagon map QGIS has been processing all night. Tree density in Europe. Data: https://t.co/qcyMie5Dgu Tool: QGIS #30DayMapChallenge
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge Day 17: Zones Suppose you wanted to build something in Germany that is at least 1km away from where people live, the coloured areas are a no. Gridded data from the 2011 #Zensus csv-files at https://t.co/cZ83Z9WBXx WMS background from BKG, made with QGIS
By wahlatlas.net (@wahlatlas)
For today's #30DayMapChallenge ("Climate") I fell back on an old standby of 🌀 tropical storms 🌀 using @NOAANCDC historical track data in #rstats {sf} {ggplot2}, looking at direct hits to or close-pass-bys of Maine. Code will be up in a bit (need moar ☕️).
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
@tjukanov #30DayMapChallenge Day 21-Environment #india State & UT wise forest cover change 2015-2017 @DataPortalIndia #kml @googleearth using #fme @SafeSoftware red icons are to watch for depleting #forest cover
By SRG (@Saint_GIS)
@UNAVCO #30DayMapChallenge 13. Tracks Tried for a while to convert gps station data into tracks without demonstrable success. On the right is an attempted Seattle gps station plot which may (or may not) have moved about a foot in 23+ years. On the left are semi-random wanderings.
By John O'Leary (@OLjohnel)
Orienteering as a good reason to visit different places #30DayMapChallenge
By emil (@57x025)
Day 7 of the #30DayMapChallenge is Red, here is a map of Australian Cities I made to highlight proportional symbols. The area of the end of the cylinders is related to the area of the city and the height is related to the population. Made in #QGIS with the #QGIS2ThreeJS plugin.
By Tom Armitage (@MapNav_Tom)
« Boundaries » (pour « limites », « frontières ») au programme du 14e jour du #30DayMapChallenge ; allons-y avec une carte polaire des pays nordiques, leur zone économique exclusive (ZEE 🔵) et les gisements d'hydrocarbures supposés (🔴).
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge Día 16. Topónimos. Topónimos de los principales cerros, barrancas y lugares en la Ciudad de Guadalajara.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge 5. diena, rastrs. Zemes plaušas, Sentinel - 2.
By Kristīne (@kriksine)
#30DayMapChallenge Day 21 - Environment: More futzing with QGIS, I started on air quality, ended with precipitation and fun with web map services! Data: @Mapbox, @openstreetmap, @EPA, https://t.co/jWlUp5lCL8, and Multi-Radar/Multi-Sensor System from @NOAA (WMS via @IowaStateU)
By Tim St. Onge (@TimStOnge)
Day 17 #30DayMapChallenge Public transport stops zoned for median income quartiles rather than fare zones. It's expensive to be poor.
By Andrew Fletcher (@EVB221)
#30DayMapChallenge Day 21: Environment 🌳 Experimental #animation of all the trees in #NYC ... raining from the sky. Sorted by date they were added to the dataset. Data via: https://t.co/OHyeSrjrk5 #maps #3d
By Craig Taylor (@CraigTaylorGIS)
My #rstats participation to the #30DayMapChallenge with #rspatial 🗺️ 1. Points: Daily number of light vehicules 🚗 at control points in Loire-Atlantique department (France)🇫🇷 in 2010 and 2013
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day 26 #Hydrology 🌊 Corrientes de agua en México #QGIS
By Carmen Carro (@CarmenCarro_)
Some parks in Bogota. #30DayMapChallenge #QGIS #Bogota #Colombia #Zones Day 17 (late)
By Felipe Lancheros 🐯 (@MiniTigri)
Day 15: Names I didn't venture out any further than my own name for today's challenge. Data from Natural Earth and Ordnance Survey Open Names. #30DayMapChallenge #gischat
By Kyle W. Smith (@kwsSanDiego)
Dia 15: Names. Copiant-me de l'estil d'alguns que he vist per aquí...però fet massa ràpid i amb poc temps. Crec que un ben fet d'aquest estil podría quedar guai! Ja experimentaré! I problemes amb la qualitat a l'exportar-lo... #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge Day 24 - Statistics: Mapping poverty rates in relation to population by county for the contiguous US. And yes I know I'm breaking the carto-rules with the non-sequential color scheme😈😈
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge day 2, lines. looking at Denver B-cycle activity throughout 2018. It's been a while since working on any visualization project, hoping to start digging into these types of projects again.
By Joanne Cheng (@joannecheng)
#30DayMapChallenge Day 4: hexagons ( alas, not mine ) citizen science Particle Matter ( feinstaub ) map of the @luftdaten project, helping monitor microparticles in the air ( also noting the exceptionally high 'smog' particle levels in Delhi (50 is the EU safety limit ))
By miska knapek (@miskaknapek)
#30DayMapChallenge day 22 built environment, sadly I'd already used building density on day 20 urban. So I've gone with a dataset of human footprint from the NASA #wms server. Basically, green is good, red is bad (and I couldn't find the original data to change the colour). #qgis
By Ian Turton (@ijturton)
Mailing it in a bit and trying to catch up on the #30DayMapChallenge after a crazy week at work (4 visitors evaluating our #IB programs, one of which I coordinate)... first is just orthophoto (Day 5) of the building where I've spent a lot of my life for the last 4.5 years...
By Garret Merle (@gmsooner)
Day three of the #30DayMapChallenge (polygons)... Breaking down every MLB/MiLB stadium location using voronoi diagram (minimal distance needed to reach each stadium from a point)
By Daren Willman (@darenw)
Climate. Playing around with FMI open data. Monthly precipitation on selected sites in Finland (2018). Never really used the histogram chart option in QGIS before. Data: @meteorologit, @Tilastokeskus #30DayMapChallenge #climate #precipitation
By Faris Alsuhail (@AlsuhailFaris)
Suivre les #sargasses grâce aux images #Sentinel2 intégrées dans #ArcGIS. Les bandes spectrales Red et RedEdge permettent de mieux voir les sargasses (ici en Rouge ). #seewhatotherscant #raster #day5 #30DayMapChallenge #ArcGISOnline 👉https://t.co/2puIX2U5xI
By Nkhili Asma (@NkhiliA)
Percentage of commuters commuting into ‘Dublin City and Suburbs’ (as defined by the census) #30DayMapChallenge #Day3 based on @CSOIreland data. @DublinCommuters
By Heikki Vesanto (@HeikkiVesanto)
Day 20 of #30DayMapChallenge: rural Rural schools in Biobío, #Chile (where I was born) with municipality average income decile. Escuelas rurales en Biobío, con decil promedio de ingresos por comuna. Data from MINEDUC, INE and #chilemaps Code: https://t.co/ylD6IlHNCJ
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge 23: Population A variation on #election #maps: returns at county level, but instead of dot density (h/t @kennethfield) or my earlier value-by-alpha, I used @USGSLandCover as a mask; developed is transparent, other areas are masking full county polygon
By Philip Pierdomenico (@PhilPierdo)
Day 25 of the #30DayMapChallenge! Can't believe November is almost over! Today's topic of #climate brings you a map of the changes in annual terrestrial #precipitation around the world in 10 year intervals. #weather #map #datascience
By Positium (@positium)
Abstracting aerial imagery. Hillshading color values and blending back to the original image. Red: grassland areas, Tan: forested regions, Grays: rock, sand and urban spaces. #30DayMapChallenge Day 5: Raster. Made with love, @qgis and @OSGeo
By XYCarto (@XyCarto)
#30DayMapChallenge 11. Elevation The Dutch have no real mountains. The highest point in the Netherlands is the Vaalserberg, which we share with our neighbours in Belgium and Germany. Interactive version 👉🏻https://t.co/tZakDtPSBd
By LocalFocus (@LocalFocusNL)
Day 24: Statistics Only 4 countries had a higher mortality rate in 2016 than 2000. The common thread among the outliers, high and low, is of course war and severe political unrest. #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 8. Green Extent of tallgrass prairie in Kansas. Data from KS Data Access & Support + NASA SRTM
By Travis White (@visualvariable)
Trabajo escolar Estudio de Cuencas: Usumacinta - Áreas Naturales Protegidas Técnica: Editorial Fuente: Conjunto de datos vectoriales de la Carta de Uso de Suelo y Vegetación serie IV @INEGI_informa - Comisión Nacional de Áreas Naturales Protegidas #30DayMapChallenge
By Edgar Daniel (@edaniel_ramirez)
#30DayMapChallenge 🗺️ Day 3: polygons Land use map of the Netherlands, inspired by Piet Mondrian 🇳🇱🎨 Tools: #rstats #rspatial #ggplot2 📈 #Nederland #landuse #polygon #Mondriaan #generativeArt
By Mirza Cengic (@mirzacengic)
Day 13 of the #30DayMapChallenge : Tracks…Moving from boats to train tracks with @cta live train data over gtfs track information. #IMNOS
By Patrick Nelson (@pnelson917)
Dublin greenspace from #OpenStreetMap #30DayMapChallenge #Day8 #Green @osm_ie
By Heikki Vesanto (@HeikkiVesanto)
@EuroGeographics #30DayMapChallenge day 4: Hexagon tessellation of the Iberian Peninsula. #tidyverse and #sf have made life so much easier!! #rstats Code: https://t.co/y6OcXWFQGW
By Javier Elío (@Elio_Javi)
Day 4 of the #30DayMapChallenge - #hexagons @LDN_gov Tree canopy cover map showing the proportion of tree cover within #London Hexagon coverage designed by @TfL Each hexagon measures 350m across, and is oriented so that the flat sides at top and bottom are horizontal.
By GeomniUK (@GeomniUK)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 #Day12 #30DayMapChallenge: Movemet. 40 minutes of @CitiBikeNYC's rentals on june the 1st 2019, right after midnight. Ol' blue eyes was right: NYC is the city that never sleeps. cc @WMVallejo
By DoctorJ (@garciaart3)
#30DayMapChallenge Day 15: Names Voronoi polygons around #London tube stations filled with the name of their nearest (in a direct line) station.
By Martin 🚡 (@MartinBangratz)
#30DayMapChallenge 11. Elevation: papercut elevation map of Estonia
By Evelyn (@evelynuuemaa)
[EN] Since 1990, the residential buildings recorded in federal national censuses #switzerland have been given coordinates. https://t.co/y7oAsIadqy by @StatSchweiz #30DayMapChallenge
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge Day 6 Blue. Aguas continentales en Colombia. Mapa generado con librería tmap de #R. #rstats #rstatsEs #gis #visualizaciondedatos #mapadecolombia #artmap #dataviz #tmap #rstudio #colombia #DatosDeMiercoles #colomviza
By Edwin Mendivil Barceló (@vizualdatos)
Day 4 of #30DayMapChallenge Hexagons! Hexagons symbolized by park and distance from park. Gray hexagons indicate areas with no park larger than 10 acres within half a mile.
By Jessica Hammond (@jh550)
Day 5 of #30DayMapChallenge – Rasters: Auckland Past and Present
By Andrew Tyrrell (@SouthArrowMaps)
Day 13 #30DayMapChallenge #Tracks I #SabíasQue con #LaIDEdeBogotá puedes conocer los servicios troncales de Transmilenio y sus diferentes estaciones ubicadas en las vías principales de la ciudad. Explora el mapa aquí https://t.co/9sU4xrecTE #MapasBogotá
By Catastro Bogotá (@CatastroBogota)
#30DayMapChallenge Day 24: Statistics. Not been able to do any new maps today, so instead I had a quick look at my #osm edits and my stats for @TheMissingMaps. I need to get back on this for 2020, or maybe we make this project next months #30DayMapChallenge.
By Sam J (@samwise_v)
#30DayMapChallenge (15. Names 16. Places) Some #baseball teams around the world on 2019.
By Yuxtap (History M-app) (@yuxtap)
#30DayMapChallenge day 22: Build environment Venezuela Square Built, built and destroyed
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30daymapchallenge 5 years of tracks #Minnesota #gischat
By Justin Meyers (@MapMakinMeyers) in USA
🗺 No.4 The protected areas of Daisetuzan national park 🗻 Color coding by area included in hex. Hex was created with uber’s h3! 🦉 Code: https://t.co/nWaXoMdk4K #30DayMapChallenge
By Uryu Shinya (@u_ribo)
Day 17: Zones #30DayMapChallenge Porirua wind zones. When applying for a building consent, the wind zone in which a structure is located determines structural requirements. Data: https://t.co/oHmG5vBvRW https://t.co/T9P3Z7UW9g
By Leo (@hendrikxleo)
El segundo día del #30DayMapChallenge va de líneas. Líneas de Guaguas Municipales en Las Palmas de Gran Canaria. Fuente: @GuaguasLPA | @AyuntamientoLPA
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge 9.Yellow: arable land in Estonia
By Evelyn (@evelynuuemaa)
I've been travelling unexpectedly all day today. But I still had 5 minutes to scrawl out a map for today's challenge #30DayMapChallenge Congrats #Finland #euro2020 !
By Carl Churchill (@Cchurchili)
#30DayMapChallenge Day 1. Points @tjukanov This is a map showing Govt. health centres in India. Metro cities identifiable as dark blue dots. Artifacts visible on left mid area due to low fidelity of data from one state. Data source: https://t.co/XcdbMcDFzd
By NMN (@nmnsgr)
#30DayMapChallenge Day 4, Hexagons: Coincidentally, I needed to update this @st_assessor map today for a meeting tomorrow --->
By Michael McNeil (@mikusthetiger)
#30DayMapChallenge 2. Lines Here are updated maps of countries that send and receive #remittance (zooming into the least developed countries) based on the latest available @worldbankdata #dataviz #data #maps #LDC #FinancialInclusion #ggplot #rstats
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 4 – hexagons Shoreline of lakes classified according to the Water Framework Directive (2016 classification) #wfd
By Thomas Banafa (@ThomasBanafa)
#30DayMapChallenge Day 15 - Names: The five most popular county names in the US (spoiler they're presidents)
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge 6. Blue Cyanotype-ish map of Eigg, OS Open Zoomstack, #qgis, added a procedural paper texture bumpmap in #b3d
By Steven Kay (@stevefaeembra)
#30DayMapChallenge day 2: lines - all rivers in Iceland: https://t.co/LIBSOhrYZY r-code: https://t.co/2AkyX46xIO
By Einar Hjörleifsson (@fishvice)
A day late...#30DayMapChallenge Day 28: Funny - My cartography skills when not using a GIS 😂🎨 #paint #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
Sumy oblast (region), Northeast Ukraine. Region with the largest number of hamlets. Map based on density and map based on population size with loss. #30DayMapChallenge Day 15: Places #OpenStreetMap contributors #qgis
By gontsa (@gontsa)
Day 6: Blue #30DayMapChallenge Bathymetric contours in the Gulf of Maine. Data: US Bathymetric Contours (NOAA), Natural Earth Admin 0 – Countries.
By Leo (@hendrikxleo)
#30DayMapChallenge 5. Raster #Brussels a century ago hasn't changed much (year 1905)
By Karim Douïeb (@karim_douieb)
Name like '%Yellow%' #30DayMapChallenge
By Justin Meyers (@MapMakinMeyers) in USA
Transitioning between the outline of Scotland from the 1654 Blaeu Atlas and the modern day. See the @natlibscotmaps for more information on the source: https://t.co/rXzX6tg8Pi Interactive version https://t.co/2CYYV3Ykpy #30DayMapChallenge #Day29 #Experimental
By Heikki Vesanto (@HeikkiVesanto)
@tjukanov @vega_vis Day 2: Lines Unknown Pleasures of a Trip to the Seaside Height of each line above baseline is shortest distance to the coast. Workings and data at https://t.co/3CZr599xYB #30DayMapChallenge
By Jo Wood (@jwoLondon)
Day 26 of the #30DayMapChallenge and I created a LiDAR-derived relative elevation model (REM). LiDAR data can be extremely useful to visualise river features such as historic river channels and floodplains! More information about REMs can be found here: https://t.co/X7amX7Wycd
By The Spatial Data Manipulator (@GIS_Manipulator)
Hexagon tiles on India w/ @UberEng H3-JS for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Day 5: Raster This fun little voxel generator uses an elevation raster to derive height and an aerial raster to colour the voxels accordingly. Cell size is tweaked halfway through. #map #animation #3d
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Day 20. Rural The 2010 US census classifies 44 out of 105 Kansas county populations as 100% rural. h/t to @onestopmap for mapping the same idea.
By Travis White (@visualvariable)
#30DayMapChallenge Day 10 is black and white so I went old school. Here is a map of modern Goring by Sea and the 1896 OS 6" to the mile one I used as inspiration. made with #qgis of course!
By Ian Turton (@ijturton)
Día 7: Rojo / #Tsäjpts La primera mitad del 2019 fue extremadamente seca en la región #mixe, esto hizo que los incendios se propagaran con mayor facilidad. Este mapa muestra los puntos de calor detectados por medio de satélites en la región mixe. #30daymapchallenge
By Colmix (@Colmixe)
#Aerosol #Pollution over #Delhi #Punjab #UttarPradesh #Harayana from #oct 28 to #Nov 8, 2019. #Data #Visualization from #sentinel5p #30DayMapChallenge #airPollution #india @Dimple95Jain @arkarjun
By Geominds (@geominds)
#30daymapchallenge #Paraguay is split between the vast Chaco savannah and wet Atlantic forests to the south. This map uses a combination of #mapbox , #photoshop labels and some photos to highlight this little-known countries natural beauty.
By Carl Churchill (@Cchurchili)
#30DayMapChallenge 7. Red With thanks to @John_M_Nelson for the @ArcGISPro style for the second day running... here are the roads of Redbridge, Southampton, together with the AQMA resulting from the road traffic pollution. 🚗↔️🚴 ♀️ Source: @OrdnanceSurvey OML, AQMA: Defra.
By Helen Cooper (@HelenOfStow)
#30DayMapChallenge Day 22: Built Environment - Original Six Tools: @ArcGISPro | Data: @OSM Two parking lots, an armory, a skyscraper, and a glorified mall is all that remains of the Original Six @NHL team arenas (pulled this one from the archives).
By Christopher Pollard (@CRVanPollard)
Day 8 of the #30DayMapChallenge with the theme Green, and possibly one of my favourite maps (visually) so far. I've mapped the duration of property ownership for each parcel in in Nelson, NZ. #rspatial #stats
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge 22. Built Environment🏭 Full version of the OpenStreetMap for my hometown #Lipetsk 🇷🇺looks terribly incomplete, so here we go with a crude version: People vs factories. data: #maps #rstats #ggplot #russia #nlmk #sdg11 #city #steel #OSM
By Olga Kononykhina (@bettermeasured)
Hoy el #30DayMapChallenge va de hexágonos y no pensaba publicar nada, pero al final me animé y aprendí mucho por el camino. Las 176 430 palmeras de Gran Canaria representadas en una malla hexagonal. Fuentes: @GRAFCAN @GranCanariaCab @EcologicaGobCan https://t.co/lwfQgOwPSJ
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge 14 - boundaries the future of the uk? still hoping not. processing and reprojection in #qgis, hacked back to wgs84 for #tableau https://t.co/5UCcmCDj2Q
By A. D. Mac (@AdiBop_)
Another blast from the past for today’s #30DayMapChallenge. The theme is polygons so here’s a map of the Antarctic claims (in the 1950s!) that I did for an academic publication. Thanks to this I got several more commissions for similar maps. #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge Day 12 - Movement From the archive of #datosdemiercoles Fires registered in the Amazon during July. Interactive map + code: https://t.co/SrUzHK23Pl #rstats #rstatsES
By Daniela de los Santos (@danidlsa)
#30DayMapChallenge 8. Green = Wales Wales National Landscape Character Areas. For a description of each area, highlighting the physical and human geography of each 🤓, see https://t.co/4qPuDWSORD Source: @NatResWales and @OrdnanceSurvey Terrain 50
By Helen Cooper (@HelenOfStow)
Tartu, Estonia. Distance to mobile antennas. #30DayMapChallenge Day 5: raster
By Anto Aasa (@antoaasa)
We've got some new beautiful maps up on https://t.co/8f46GjZWtq for day 23, 24 and 25 for #30DayMapChallenge, covering the themes of "statistics", "population" and "climate" #datavisualisation #locationIntelligence #dataanalytics
By Emu Analytics (@emu_info)
#30DayMapChallenge 15. Names - The Country Names of the EU-28 memberstates, 2019 - info and data from @EULawDataPubs at https://t.co/DvRysARYWj - joined contributions by our @EU_Eurostat E4 team -15days2go - #GISCO - so much more ideas for design..
By hannes reuter (@hireuter)
#30DayMapChallenge 7. Red 🔴 Today I replicated dataviz idea from @WorldPopProject Internal migration flows in Liberia🇱🇷 and Zambia🇿🇲 https://t.co/x6U0eFZRHV #dataviz #data #maps #ggplot #rstats #migration #GIS #Liberia #Zambia #malaria #SDG1 #SDG3 #SDG11 #SDG16 #Africa
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge Day 30 #Home 🗺️ Diferencia entre AGEBs y colonias en CDMX #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 2⃣1⃣ Environment: Separate waste collection in 2017 in Lombardy Region municipalities (Italy). Data sources: - municipalities: @RegLombardia Geoportal https://t.co/PtYY0OY6Uu - separate waste collection: @ISPRA_Press https://t.co/Zj7ktxn6Ca Map: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge 23. Population Women's cities and men's countryside, the sex ratio in France Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 22: Build Environment New York New York Two maps of New York buildings using two different open sources (@bingmaps and @NYCDoITT)
By Dan Cookson (@danc00ks0n)
Day 8 Green (or the loss of green) - Spread of bushfire at the Carrai National Park in New South Wales. For monitoring and mapping the spread of burnt ground both false colour and NDVI are useful tools. Imagery from @sentinel_hub @ESA_EO #30DayMapChallenge #NSWbushfires
By Brian Johnston (@Geo_BrianJ)
#30DayMapChallenge - Day 23 - Population. Population Density from LSOA Attributes. @OrdnanceSurvey #Zoomstack as background, Hotspot generated in #SIS9 weighted with points based on population within LSOA boundary #GIS
By Cadcorp (@cadcorp)
Sumamos al #30DayMapChallenge: Así se distribuyen los 22,312 incidentes viales que reportó C5 en la ciudad de México durante octubre.
By Data Lab Mx (@MxDatalab)
Because it is Sunday, I am reposting older work for #30DayMapChallenge: 8 hours of train traffic in Finland from @TraficomFinland API
By Topi Tjukanov (@tjukanov) in Finland
Día 6 Blue: Tasa de Envejecimiento en México. Coahuila con más jóvenes y CDMX con más personas adultas. #30DayMapChallenge #rstatsES #datosdemieRcoles #rstats #ggplot2 #CDMX #DataScientist #CDMX #Coahuila #Mexico https://t.co/dhf0lMBwfo
By Enrique Santibáñez Cortés (@EnriqeSc)
#30DayMapChallenge Locations in Great Britain where names consist entirely of vowels or entirely of consonants - well done Wales ;-)
By Sweary Dave (@citizenfishy)
@Syracuse1848 @SyracuseU #30DayMapChallenge Day 12: Movement It is snowing in @Syracuse1848, so let's revisit a bad snowstorm from January 2018 and see how snowplows operated. Data: https://t.co/LbKlM7XKZA Code: https://t.co/6Ifx2n3Kz5 Tools: #ggplot2 #gganimate #rstats #opendata
By Sam Edelstein (@samedelstein)
Jour 23 - Population - #30DayMapChallenge Les résistances de la population locale contre les mesures anti-congréganistes dans le #Morbihan (1902-1904).
By Aurélien (@pivaurelien)
Day 5: Here is an easy one that everyone can do for the #30DayMapChallenge Our followers map! Thank you so much for following us! https://t.co/jJNdk32xxK
By Tweepsmap (@tweepsmap)
#30DayMapChallenge 1. Points. I chose those points that are meaningful to me. I'm really doing this! Took me 15 min to do the map with QGIS and 15 min to figure out suitable size for Twitter😅. Hope I'm set for the whole month challenge🤪The game is on @tjukanov.
By Sanna Jokela (@SannaJokela1)
Here is a different take on rasters, this time with boundaries from Natural Earth and images from the capitals found in Wikimedia Commons and collected with @wikidata. Made with the help of #Python, @geopandas, #rasterio, and #gdal #30DayMapChallenge
By Nikolai Janakiev (@njanakiev)
#30daymapchallenge | Polygon | Helping the little one with his school project - The Great Fire of London in @tableau @tableaupublic link for interaction: https://t.co/8hEjNP7mUx thanks for the advice @AdiBop_
By Adam Green (@greenynorfolk)
Jara meza ricetiva sunlumo de la konstruaĵoj en la centro de Parizo. #Esperanto #30DayMapChallenge Tago 19 : Urban
By Reĝa Ardeo (@RegxaArdeo)
Densidad de población nacidas fuera de la CDMX en Hexágonos de apróx. 0.3x0.3 kms #30DayMapChallenge
By Carlos Cortés (@jccpmx)
#30DayMapChallenge Map_15 Names. Una de las cosas bonitas que haces al hacer una concentración parcelaria es conocer y redefinir los nombres de los parajes de cada parcela. 👩 🌾👨 🌾 CP Conca de Tremp. 2003-2010. El post @iagua #CP
By Ignasi Servià (@iservia)
Day 11 elevation #30dayMapChallenge Made these contours from a DEM when I finally got a merged file working. Simple again but learning everything :)
By Kylie Wilson (@_kyliejane)
#30DayMapChallenge Day 11. Elevation A common layer computed from elevation data is aspect. Rendering aspect with a regular color ramp (as in the image below) is not the best way of doing it. Aspect is a cyclic variable, and a cyclic color ramp should be used
By Víctor Olaya (@volayaf)
It is environment for #30DayMapChallenge today. so two maps - one, with Elephant Census Data 🐘and another from Tiger Census 🐯 - both showing population distribution across states.
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Day 3: Polygons - Scotland has just under 2000km² of designated Nature Reserves🌲🐦 #opensource #SNH #ScottishNaturalHeritage #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
@f_l_o_u_r_i_s_h #30DayMapChallenge nr 2: Belgian airports and their connections by number of commercial flights. Made with #Rstats/#ggplot https://t.co/Rxq7W35yiD Open to requests for other countries!
By Maarten Lambrechts (@maartenzam)
@Generally_Geo For a proper tribute to Pete I had to set it in NZ and make it in QGIS. Well, here it is. Whangaroa Harbor in the Northland is famous for whale sightings, and the home of several Māori iwi (nations). Hope I did it justice! #30DayMapChallenge
By Carl Churchill (@Cchurchili)
Not much creativity and not much time for #30DayMapChallenge Day 18: Globe 🌍 Three different types of projections and two examples for each, all done in #ggplot2 #rstats. The globe is a matter of perspective and geometry in 2D 🤷 ♂️
By Cédric Scherer (@CedScherer)
Hoy toca #elevación en el #30DayMapChallenge, y aprovechando que salí a entrenar esta mañana, hice un visor para mostrar la ruta y la altitud de la zona recorrida. Se puede ver con más detalle en https://t.co/4PAghreM9m
By Pedro Suárez (@pedro_com_es)
This is what happens on a day twitter does a massive purge and suspends millions of accounts Our followers map turned mostly red on July 12, 2018 Day 7 of #30DayMapChallenge: Red
By Tweepsmap (@tweepsmap)
Thanks to @tjukanov, got my hands on #MapboxGLJS for the first time for #30DayMapChallenge day 4: hexagons. I was also inspired by @puddingviz's project. #BuiltWithMapbox @Mapbox Population data from several sources, mixed and fine tuned by me. https://t.co/j3sgtcFYEH
By City's Backyard (@citysbackyard)
@openstreetmap Dia 18: Globe. Diferents projeccions, diferents maneres de representar el nostre "globus". Si en voleu veure moltes i comparar... https://t.co/py3gEpfWM9 #30DayMapChallenge #QGIS
By Gerard M. Porras (@Gerardathletics)
My Helsinki from @Maanmittaus point cloud. Last one for #30DayMapChallenge: Home.
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge nr 14, "borders". Het geoportaal van Provincie Overijssel biedt een mooi bestand van historische gemeentegrenzen, hoe ziet dat eruit voor een willekeurige gemeente daar?
By Bart Broex (@bbroex)
Día azul en el #30DayMapChallenge. Canarias no tiene ríos, tiene barrancos, y estos dibujan una geografía única. Fuentes: línea de costa del IHM (Instituto Hidrogrófico de la Marina), curvas de nivel e hidrografía del @IGNSpain (Instituto Geográfico Nacional). @canarias_es
By Pedro Suárez (@pedro_com_es)
Forgot to post this on Saturday: #30DayMapChallenge Day 16: Places - Roads with 'Place' in the name within South Yorkshire #osopen #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Day 8 - Green Percentage of Agricultural Land Area in the world 2016.
By Abdishakur (@shakasom)
We’ve seen many gorgeous LIDAR maps of rivers (e.g. by @geo_coe and @Carto_ALex) so with the #30DayMapChallenge theme being Hydrology we wanted to do something similar. Not a river but the tidal wetlands of the “Verdronken Land van Saeftinge” #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge - Day 20 - Rural - Here's a map of Dublin County Council development plan zoning for rural use. "Rural" is relative, but it'll be interesting to track what happens with these areas and uses longer term.
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge 🗺️ Day 6: blue🔵 The Amazon river basin. 🦜 Data sources: SO HYBAM, IFL, GADM Tools: #rstats #rspatial #ggplot2 📊 #Amazonas #rainforest #river
By Mirza Cengic (@mirzacengic)
#30DayMapChallenge day 4 Louisiana Racial/Ethnic Diversity by Parish using #rstats: #tidycensus; #tidyverse; #sf; #geogrid
By R.Richard (@rorich)
#30DayMapChallenge 5/30 Raster. Get analogue! Download and print this Adult Color Map Puzzle then grab your color pencils and relax! (Level: Medium/hard) Size: A3 >> https://t.co/6332vr1FMS Made by: @BNiene - Made with: Qgis
By cartiqo (@cartiqomaps)
Day 30 of #30DayMapChallenge: home My homes during the last 25 years: Valdivia (Chile), Palmerston North (NZ), Hobart (Australia) & Christchurch (NZ). Not to scale. @openstreetmap data + #Rstats. Code: https://t.co/fewmEnuGE8
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Día 2 Lines: 15 de mis rutas de Google Maps durante el día. #30DayMapChallenge #rstatsES #datosdemieRcoles #rstats #ggplot2 https://t.co/DI535usWc5
By Enrique Santibáñez Cortés (@EnriqeSc)
Day 20 (rural): The Mediterranean is characterized by complex rural patterns, mainly dominated by agriculture. There is a high percentage of irrigated agriculture due to low annual precipitation. This percentage will most likely increase in the future #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
#30DayMapChallenge 2. Lines made with #QGIS#randonnees @FanBroceliande
By Ben (@benfriin)
We’re taking part in the #30DayMapChallenge, not sure whether we can do every day but we’re going to try as many as we can. So to kick off the month here’s Mount St Helens in halftone. The topic was “points”, this may be a bit of a stretch… #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge 9: Yellow. Helsinki city bikes and their current 345 stations are mostly yellow. Here are all the stations mapped with #rstats #ggplot2 and the station Baana (red dot) in May 2016, one week after the bike launch.
By Tuija Sonkkila (@ttso) in Finland
My Day 3 - Polygons map: I call this piece "Buildings of Downtown Anchorage, Alaska, colored by footprint area." #30DayMapChallenge
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Day 8: Green Linked to the 2 last maps, this is another factor of enviroment and energy inequity: the accesibility to green spaces (m2 per habitant) / Accesibilidad a áreas verdes (m2/hab) Model designed by @f_vivienda with data of @cndu_chile
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge 1: punkti. Vai tā ir zvaigžņotā debess? Nē, tās ir Rīgas gājēju pārbrauktuves.
By Zane (@atdodkonfektes) in Zane Atstāja
#30DayMapChallenge : au programme de ce jour 4, j'ai « hexagones ». Par conséquent, voilà une carte de la concentration des clubs de rugby amateurs et professionnels en France métropolitaine – pour une fois ce n’est pas élevé simplement là où y a beaucoup d’habitants.
By Pierre Breteau (@pierrebrt)
Day 10 of #30DayMapChallenge: B&W. Detail of Valparaíso: Almendral, Cerros Mariposa, Florida, Monjas, etc. @openstreetmap data in #Rstats Code: https://t.co/uCaHBclnG4
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 5 - Rasters. Whoops! I misheard that as Rastas. So where will we find them? Tell me the name of this colourful Island (in many senses) rendered from Natural Earth with a gradient on the R value.
By Sweary Dave (@citizenfishy)
Day 1 #30DayMapChallenge Many US city names are not unique and in fact duplicate those from the countries of out-migration (?). I used maps::world.cities Gazetteer #rstats dataset to identify those duplicate cities ⌨️ https://t.co/ckgcMnxOL8 tnx @hrbrmstr for 🎨 🗺️ 📦
By Ilya Kashnitsky (@ikashnitsky)
Forgot to post this yesterday: #30DayMapChallenge Day 14: Boundaries - Subdivisions of Great Britain - 22 in Wales, 32 in Scotland and 371 in England #boundaries #osopen #opensource #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
Throwback tweepsmap: Historical map of our followers from May 2013 Day 9 of #30DayMapChallenge: Yellow
By Tweepsmap (@tweepsmap)
#30DayMapChallenge Day 23 - Population I took the population of England and Wales at a household level and found the nearest pub for each person. This shows the busiest pub per county with the queue outside visualised as a line (1 metre per person). Table shows top 10.
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Day 19: #Urban 🏙️ Urban areas of the world as #map of #CityLights deviated from MODIS data 🛰️ and provided by NaturalEarth 🌐 #ggplot #rstats #dataviz
By Cédric Scherer (@CedScherer)
Day 11 #30DayMapChallenge (Elevation) - Mt Taranaki Night Edition, showing walking routes and roads
By Andrew DC (@andrewdc_nz)
#30DayMapChallenge 22. Built environment A short tour of the urban environment of Caderousse (France) Made with #QGIS & (Quick)OSM
By Romain Lx (@lacxrx)
#30DayMapChallenge 🗺️ Day 8: green 💚 Global vegetation greenness map 🌲🌴 Data source: MODIS NDVI Tools: #rstats #rspatial #ggplot2 📈 #map #vegetation #NDVI #MODIS #dataviz
By Mirza Cengic (@mirzacengic)
19 Urban São Paulo Metropolitan Area aerial view + urban + elevation #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge Day 9 -Yellow. Cropland in Sardinia. Source @openras Made with #rstats sf + ggplot2
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 1: Points Parcel Centroids within the Greater Philadelphia Region. Tools: @ArcGISPro
By Christopher Pollard (@CRVanPollard)
@f_l_o_u_r_i_s_h @Stad_Antwerpen #30DayMapChallenge nr 9 (yellow): a yellow map of the Belgian municipality of Geel, which means "yellow" in Dutch 😎 https://t.co/tJ6U6ODxI7
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 26 : Hydrology - Cours d'eau et licences de canoë-kayak dans le Nord et le Pas-de-Calais #Nord #PdC #RStats #OpenData https://t.co/QsKt4n5EaZ
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge Day 24: Statistics Typologies des migrations résidentielles intra-polarité, région Grand-Est
By Alice Caron (@Alice_Caron_)
#30DayMapChallenge Day 28: Funny (?) What time does your nanny get up? / A qué hora se levanta tu nana? Another effect of social segregation and our public transport system / Otro efecto de la segregación y el sist de transp público
By Juanizio Correa Parra (@Juanizio_C)
Socioeconomic strata in Bogota. (1: low, 2-4: middle, 5-6: high)(Colombia has a 6 levels oficial system). #30DayMapChallenge #QGIS #bogota #boundaries day 14. (Boundaries)
By Felipe Lancheros 🐯 (@MiniTigri)
#30DayMapChallenge Day 2: lines Distribution of socioeconomic groups (income level) in Santiago, Chile // Distribución de grupos socioeconomicos en #Santiago Estimation from data of @SII_Chile and @CIAS_Chile
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge is the movement of streams in the Navarro watershed in NorCal. It's also the opening project for my @coursera course. #gischat #geography #cartography
By Kendell Welch (@kendelldotio)
@Tutuchan @OSM_FR @opendatasoft_fr #30DayMapChallenge with #rspatial 10/30. Black and White. "A black 🏴day when you have to pay your taxes, a white 🏳️ day knowing you are among the one who can pay them..." Distribution of tax offices in Metropolitan France 💸 with images on {tmap}. #rstatsFR
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day 23. Population balls. Data: Natural Earth. Population data is boring without accurate and precise information. In Finland open data is aggregated to municipal borders, 250*250 m grid also exists, but it costs. 100*100 m grid only for research.
By Sanna Jokela (@SannaJokela1)
Día de polígonos en el #30DayMapChallenge. Edificaciones de la ciudad de Las Palmas de Gran Canaria. Intensidad de rojo = antigüedad de la construcción. Fuentes: @GRAFCAN | @AyuntamientoLPA | @Haciendagob
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Dia 17. Zonas (Zones) Mapa de la Zonificación Geotécnica #CDMX. #Rstats con datos de la @SGIRPC_CDMX, que tienen una buena base de datos de riesgos, peligros e información diversa para gente que le interese el tema, o la ciudad.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Dia 8. Verde ♻️. Bosques de #Colombia 🌲🌳🌲🌳🌲. Con datos @IDEAMColombia
By Oscar Javier Espejo (@ojespejo)
#30DayMapChallenge Day 2: Lines #Canada: English road types vs French road types Data: https://t.co/FiUFBj6MNL - Road Network File - 2010 Tool: QGIS CRS: NAD83 / Canada Atlas Lambert
By Emmanuel R (@Emmanue17939044)
#30DayMapChallenge Day 18 #Globe 🏙️🌎Megacities V.2 #QGIS
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge Day 7: Red. Afon Glaslyn #b3d #fme
By Owen Powell (@owenjpowell)
@ptrmadurai @TRBRajaa @EzhilarasanCvmp @KanimozhiDMK @ChennaiRains @dhanyarajendran @SPVelumanicbe @CMOTamilNadu @Devimagan @mahajournalist My 4th Map for #30DayMapChallenge shows Earthquakes between 2000 and now for India and its neighbourhood (mag > 2.5) Each Hexagon shows Earthquake incident density in first map (in 3D) and average magnitude in the second map Data from @USGS
By Raj Bhagat Palanichamy (@rajbhagatt)
#30DayMapChallenge 6. Blue 54 Years ago, against considerable opposition, a dam was built on the river #Tryweryn in Wales. The small village of Capel Celyn was drowned to create a reservoir to serve Liverpool. Map style tools created @John_M_Nelson in ArcGIS Pro. Data: OS OML
By Helen Cooper (@HelenOfStow)
#30DayMapChallenge 9.Yellow - Land cover for FAO Forest categories by NUTS 2 regions according to LUCAS survey, 2015 -info: https://t.co/rM7ACAXcrC -visu: https://t.co/9Fb7zQkpqZ -by @EU_Eurostat E4 -22days2go -Software: Leaflet.js
By hannes reuter (@hireuter)
My #30DayMapChallenge no. 01 -- points. Address points in Auckland New Zealand coloured by street number (colours probably need more tweaking). Code is here: https://t.co/xjHBD67Blp. Inspired by https://t.co/z9jgRKXIZv.
By Aaron Schiff (@aschiff)
#30DayMapChallenge Day 10 - Black Map showing entries for the Globe At Night campaign where scientists were asked to measure their sky night brightness. The position of the dots doesn't mean that those areas are the best to see the stars 😉
By Irene de la Torre (@inari_ta)
Day 11 Elevation - 100m contour lines across the UK and Ireland showing the variability in Elevation and slope between the South of England and Scotland. Large Parts of these Islands lie within 100m of MSL. Data: EU DEM1.1 from @CopernicusLand @ESA_EO #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
Day 28: Funny #30DayMapChallenge Theme parks and Zoos in the Netherlands. Data: Openstreetmap
By Leo (@hendrikxleo)
#30DayMapChallenge Day 27: Resources Mining activity classification, Savoie Typologies des mines de Savoie
By Alice Caron (@Alice_Caron_)
Day 24 of the #30DayMapChallenge - Statistics This map shows the land use types in the London Borough of Bexley and makes comparisons between this and the rest of Greater London. The proportion of top 5 land use types in Bexley are almost an exact match with Greater London!
By GeomniUK (@GeomniUK)
Day 7: I’m sorry but today is the #EuroRadonDay2019 so I’ve uploaded the 1st Pan-European Indoor Radon Map, just accepted in @EGU_NHESS (https://t.co/fXq1Txi88S) 😁😁 #30DayMapChallenge #openaccess #radon
By Javier Elío (@Elio_Javi)
Chernivtsi. City neighborhood names (Voronoi decomposition). #30DayMapChallenge Day 15: Names #OpenStreetMap contributors #qgis #grass
By gontsa (@gontsa)
Resources. Natural resources. (See? I did the 'Name is Bond. James Rodríguez'-thing!). I wanted to do a cobalt map, but I chose to sleep instead. #30DayMapChallenge #ore #rock #metal #blackmetal #naturalresources #exports
By Faris Alsuhail (@AlsuhailFaris)
Day 3 - Polygons #30DayMapChallenge Most frequently used Streetname suffix per district in Great Britain. Only 18 Districts do not have "Roads" as the most Frequent suffix. Street, Close, Drive and Lane are the only other Suffix with top frequency in a district.
By Abdishakur (@shakasom)
@f_l_o_u_r_i_s_h Cheating for my #30DayMapChallenge nr 5 (rasters): published this interactive look-through map for historical aerial imagery (Flanders + Brussels) over a week ago https://t.co/Rxq7W35yiD
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 16: Places Thought I would have another go at my place names map from points, I could easily spend a week tweaking it to be honest :)
By Pete King (@Generally_Geo)
#30DayMapChallenge Day 25. Climate. Today I shall be very lazy and just give you this: a test result from climate tool made with @TREyleiskaava, Ubigu Ltd and Tietotakomo. I made the visualisations for QGIS and my colleagues did the actual work :) 2019-2035: CO2 emissions.
By Sanna Jokela (@SannaJokela1)
Para ponerme al corriente, también pongo hoy mi mapa número 2 del #30DayMapChallenge, un voronoi que hice hace tiempo con las estaciones de @ecobici, georreferenciadas en https://t.co/pcTRyyjzYx
By Manuel Toral (@jmtoralc)
#30DayMapChallenge 21. Environment🌳 I had a conversation with a friend from #trinidadandtobago 🇹🇹 and learned that his country is one of the largest CO2 emitters per capita. Today's map is about it data: https://t.co/s5sHQxBAkK #maps #rstats #ggplot #CO2 #climate #emissions
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge #Day12 #Movement 2 cartes de flux domicile-travail sur l'île d'Oléron et sur le bassin de Marennes. Les flèches représentent la proportion d'actifs occupés par lieu de travail Source : @InseeFr 2015 Outil : @qgis
By Aurelien Chaumet (@AurelienChaumet) in France
Veier og gater indikerer noe om det bygde miljøet. Turkise linjer heter enten gate, gata eller gaten. På dag 15 er temaet navn #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
Day 12. Movement #30DayMapChallenge Logistics of Metropolis Supply Center (CEAGESP) and Rural Zone Center #saopaulo #food #agriculture #production #flow
By carolina passos (@carolpos)
Jour 24 - Statistiques - #30DayMapChallenge Taux d'affluence aux conférences anticartellistes de l'Union catholique du Morbihan (1924-1927).
By Aurélien (@pivaurelien)
#30DayMapChallenge Day 10: Black & White (Landsat Band 5: NIR) Lahar zones of Mt. Rainier, Washington, USA. Extent of the Osceola Mudflow (lahar), approximately 5600 years ago. #gis #geography #geographyteacher #maps #map #cartography
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge 12- Movement Tracking a fin whale's movement in a year "Fin Whale sightings in the gulf of california" @Mapbox @tableaupublic viz: https://t.co/Q8dp41MhZm
By Vinodh kumar V R (@VinodhDataArt)
Día 22: Edificaciones / #JëënTëjk El número de bibliotecas en la #RegiónMixe es escaso, y el número de #museos lo es más. Muchas de las localidades mixes no cuentan con una biblioteca a pesar de tener una población escolar importante. #30daymapchallenge #Libraries #Museums
By Colmix (@Colmixe)
Day 16 #30DayMapChallenge (Names) - New Zealand Place names with Greek Mythology origins
By Andrew DC (@andrewdc_nz)
#30DayMapChallenge Day 11: elevation
By Zlata Popelnuh (@popelnuhh)
Starting the #30DayMapChallenge a bit late. My polygon map compares the geographical areas of the 3 different UK 2011 census output area boundaries in Central London! The census boundaries can acquired here: https://t.co/BtI8FuoRKB
By The Spatial Data Manipulator (@GIS_Manipulator)
First week of the #30DayMapChallenge done! Day 7 (red): share of bus users in home-work commuting in Tartu, Estonia. #transport #urbanplanning #maps #dataviz #datascience #publictransport
By Positium (@positium)
Another late entry into the #30DayMapChallenge ("Places") showing the places of the 2019 Retail Apocalypse (store closings) for four major brands in the continental U.S. ~3,100 stores (I 2x counted a few stores in the now deleted prev tweet). #rstats {sf} {rgeocodio} {ggplot2}
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 30: Home. Three cities which I have been able to call home at various points.
By Sam J (@samwise_v)
#30DayMapChallenge 27: resursi. Kūdra ir labs resurss, jo ieguve smuki izskatās aeroattēlos. Latvijas kūdras resursi lēsti tik daudz, ka cipari lauž smadzenes - tās ir 1000 pasaulē lielākās ēkas (Boeing fabrika) vai vagoni 70 reizes apkārt pasaulei.
By Zane (@atdodkonfektes) in Zane Atstāja
A última hora Dia 6: Blau. Xarxa Hidrogràfica Principal de Catalunya (ACA) #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge 27. Flows- Statistical Data of Imports in Quarter 1 of 2019 -info:https://t.co/86aWTPhUdf -data:https://t.co/uJcyhQcjqf -joined contributions by @EU_Eurostat E4 #GISCO Team - 3days2go - counting 3...2..1
By hannes reuter (@hireuter)
Day 4 (hexagons): These two maps show the station density from the E-obs dataset. I haven't used this dataset yet, but was just wondering how many stations are there in our study area. Data were obtained from: https://t.co/AK3yrZRdcP #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 23 of #30DayMapChallenge – Population. NYCDOH tags restaurants by cuisine (it’s imperfect), which is kind of like a proxy for pockets of communities who live in different parts of the city. Here are some of the cuisines:
By ಠ_ಠ (@DeniseDSLu)
@col_en_datos @qgis @CitiBikeNYC Day 2 #30DayMapChallenge: Lines. The path (but not the trajectories) of @CitiBikeNYC's hardest working bike in Manhattan (at least in June): Bike #33877 did 48 trips on June 3, 2019. And you thought your summer was hard!
By DoctorJ (@garciaart3)
Day 28: Funny I need to take good long look at my behaviour. Workings & data: https://t.co/spjyQmtGqE #30DayMapChallenge
By Jo Wood (@jwoLondon)
Ahora sí para estar al corriente en el #30DayMapChallenge, unos polígonos de la @IUCNRedList sobre aquellos anfibios que tengan "mexicanum/mexicana" en su binomio.
By Manuel Toral (@jmtoralc)
#30DayMapChallenge 7. Red Red hillshade from DEM with white vector tile glacier. Data from @kartverket. @postgis, @Mapbox GL JS. Jostedalsbreen, Norway. Looking forward to the next ice age.
By Tore Halset (@torehalset)
Este mes les presentaremos un mapa al día dentro de #30DayMapChallenge Día 1. Puntos. Las tiendas de autoservicio y las tiendas de abarrotes en el Área Metropolitana de Guadalajara.
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 27. Resources. The challenge is soon over, and I think I have found my niche. Seeing patterns in all data. Here is an open data source from Finland by @metsakeskus (huge effort!) and I tested it today. Only to find out that I live inside a forest gnome.
By Sanna Jokela (@SannaJokela1)
Day 27 (resources): 577 large reservoirs have been built in the Mediterranean Basin, with a total capacity of 252 km³. From these reservoirs, 48% are used for irrigation, 25% for hydroelectricity production and 13% for drinking water supply #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
day 5 of #30DayMapChallenge plotting a raster of the distance in travel time to the nearest Wetherspoons pub from any point of the UK
By Robert Hickman 🐝 (@robert_squared)
#30DayMapChallenge 12. Movement My first try at gps station velocity vectors in QGIS with @UNAVCO data. Presumably mm/year based on several days data, outrageous outliers tossed. Relative length and direction is interesting as is Mt St Helens station density.
By John O'Leary (@OLjohnel)
#30DayMapChallenge Hand drawn raster, my personal daily landuse. #gischat
By Innisfree (@Innisfree)
#30DayMapChallenge aggregate car accident in south Australia per 30 minute for all 2018, using Hexbin, #keplergl
By Mim (@mim_djo)
#30DayMapChallenge Day 5. Raster Remember: Many raster layers are just used for analysis or are intermediate results. There is no need to put them in a map for others to see. Categorical raster maps in which categories do not appear in large chunks tend to be pretty useless.
By Víctor Olaya (@volayaf)
15 Names Rio de Janeiro Neighbourhoods #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge Day 25 - Climate: "Precipitation of the wettest month" via CHELSA project (high resolution climatologies, 1979-2013, https://t.co/986A4r2iLF). India is striking here. The brightest spot is the Indian state of Meghalaya, one of the wettest regions in the world.
By Tim St. Onge (@TimStOnge)
Day 7 of the #30DayMapChallenge brings us to the color red. Here are some red towns from around the world. https://t.co/HgMpS77TSq
By gmapsmania (@gmapsmania)
#30DayMapChallenge Day 7: Red. Redlands, California is named for its red soil. Downtown, there's a lovely vintage gas station mural that was recently restored. My map for the day is a digital recreation of it.
By Craig Williams (@williamscraigm)
@qgis @TlseMetropole My little contribution to the #30DayMapChallenge Day 5 - Raster Working with Multi Directional Hillshading & mist effect made with @qgis & @IGNFrance
By Tony Hauck (@Bill_Bluray)
#30DayMapChallenge Day 11 #elevation. False colour near infrared aerial photograph of downtown #Rotterdam draped over 0.5 m #LIDAR DSM (AHN3). #opendata #WCS and #WMTS through @PDOK_online plugin in #QGIS and visualisation with QGIS 3D view. The red colours indicate urban green.
By Hans van der Kwast (@hansakwast)
Part of Eastern Beskyds, Chornohora (Black Mountain) #30DayMapChallenge Day 02: Lines Thanks for the tutorial @imhere_asia You're great! #qgis
By gontsa (@gontsa)
#30DayMapChallenge Día 20 #Rural, Distribución del registro único de víctimas del conflicto acumulado en Colombia, por municipios. La cifra va en 10'453.171 y sumando (@UnidadVictimas 2019) @7Javier6 #21NSomosTodos @CentroMemoriaH El conflicto es real #UnidosPorLasVictimas
By David Díaz Escandón (@ddiazescandon)
#30DayMapChallenge Day 14. Boundaries 🔄France a country that love Administrative boundaries >> GIF version 😄 Dataset > ADMIN EXPRESS @IGNFrance / #madewithQGIS
By Boris Mericskay (@BorisMericskay)
Carpetas de investigación iniciadas por la Fiscalía General de la República por delitos contra el ambiente y la gestión ambiental. Enero a septiembre 2019. Cifras absolutas #30DayMapChallenge Day 08 - Green.
By Daniel Vigil (@d_vigilr)
@CMEI_MX Algo más para el #30DayMapChallenge , creo que aplica para el día 12 "movimiento". Un mapa de "ruido" conforme se va moviendo el tren, en la ciudad de #Delft en los #PaísesBajos, hacia la estación; y cómo los edificios y la distancia amortizan, o no, el ruido. #DataViz #GIS
By Daniel Avila (@Daniel_AvOr)
#30DayMapChallenge Day 25: Climate. Roofs in our neighbourhood on Kulosaari #Helsinki suitable for solar panels (incl. our house) https://t.co/EUonEkGK8L Data by Eurosense via @HRInfoshare from the Decumanus project. Code: https://t.co/k6rkeKbars #rstats #sf #leaflet #htmlwidgets
By Tuija Sonkkila (@ttso) in Finland
Day 11 of #30DayMapChallenge – Elevation. Getting loopy… here’s greenhouse gas emissions from croplands faked out as “mountains” on color relief. A lot of emissions from rice paddies in South Asia!
By ಠ_ಠ (@DeniseDSLu)
@col_en_datos @qgis @CitiBikeNYC Day 5 #30DayMapChallenge: Raster. Recycling an old map I made for @VotoBici. Heat map of cyclists deaths in Bogota 2015-2017. Hot spots appear to occur in the west border, mostly lower/lower middle-income areas were bicycles have to interact with heavy trucks entering the city.
By DoctorJ (@garciaart3)
#30DayMapChallenge Day 2: Polygons (gotta catch up) Building Footprints of Ohio (almost 5,000,000 polygons) #gis #maps #map #geographyteacher #geography
By MyPhysicalWorld (@my_physical)
Here's @YellowstoneNPS at night and for "Yellow" day of the #30DayMapChallenge. This was as an experiment in combining NASA's Black Marble Imagery with SRTM hillshade. It works with the overlay blend mode! Download super fun black marble imagery here: https://t.co/PenGTHQ49P
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 3 - polygons. Mapping By Hotel Making polygons of the UK's outline by: 1) Taking the geolocations of all hotels (from Food Safety Ratings). 2) Declustering them (to get mainland / islands). 3) Drawing a concave hull around each cluster.
By Mike Raistrick (@m_raistr)
#30DayMapChallenge "points" entry Keeping it very simple with dams around the world.
By Alyne Spencer Gonçalves (@alyne_daluz)
Día 30: Hogar / Tëk'äm ¿Y cómo no pensar en el territorio y las comunidades mixes sin pensar en la música? El título de la obra musical es el título del mapa ¿Sabes cuál es? #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge 1. Points here are locations of german foundations (4129 cultural foundations (pink); and 3077 research and science foundations (blue) #dataviz #data #maps #germany #foundations #stiftung
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge. Day 11. Elevation. Mount Etna.
By Sam J (@samwise_v)
#30DayMapChallenge 🗺️ Day 10: black & white Elevation isolines of Bosnia and Herzegovina 🇧🇦 Data source: SRTM 🚀 Tools: #rstats #rspatial #ggplot2 #BiH #elevation #isolines #map
By Mirza Cengic (@mirzacengic)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia @DadepBogota @blancaduranh @U2 @WMVallejo @UNColombia @simun_unal @Foursquare #Day18 #30DayMapChallenge: Globe. Giant component (2491 nodes/cities and 17970 relations/edges) of the global network of sister cities starting from Bogota. Only reciprocal edges were taken into account. cc @redcompleja
By DoctorJ (@garciaart3)
Ecorregions WWF of the World #30DayMapChallenge day 21 @ddiazescandon @WWF_LAC #TeamTrees
By Javier (@7Javier6)
Day 18 of #30DayMapChallenge: globe Significant earthquakes from from 2150 BCE onwards (One of Moderate damage+, Magnitude 7.5+, Mercalli X+, generated tsunami, etc) https://t.co/zGIHsGhqzx #rstats Code: https://t.co/rw1coSiiuT
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
My "Points" map for the #30DayMapChallenge. Source: https://t.co/v1UsuUaBvU. I used the query "FATAL_BICY" > 0 OR "FATAL_PEDE" > 0 to find 34 crashes with non-driver fatalities. This map has not been vetted by an expert.
By Riley D. Champine (@rileydchampine)
Expanding my earlier Oregon-only version, here’s the Median Population Centers of the Lower 48. 50% of the population of each state is on either side of the line. #30DayMapChallenge, day 23, Population. Not really satisfied with it, but deadlines are deadlines.
By Darrell Fuhriman ↙️ ↙️ ↙️ (@nixzusehen)
We recently produced a series of maps of large urban regions, so with today’s #30DayMapChallenge theme being “Built Environment” we thought it would be a good one to show. Here’s San Francisco, head over to https://t.co/vMJrtfIvU2 to see what else we have in store! #lovemaps
By One Stop Map (@onestopmap)
Day 9 of the #30DayMapChallenge is yellow - here’s a quick analysis of wind turbine distribution in the Bitburg-Prüm region of Germany against agricultural land. The agricultural land includes pastures and arable land, all marked #yellow in the #CORINE land cover dataset!
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 11: Elevation - Devil’s Path Trail The Devil's Path is a grueling 25 mile hiking trail in the Catskill Mtn. of NY. Last month I hiked it w/ 2 friends in one day (we started at 5:30a.m and finished at 8:30p.m). #bucketlist #neverstopexploring
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge, Day 15: Names. This one was a bit challenging, trying to use the wordcloud2 package in #rstats with @openstreetmap data. Here's a wordcloud of "culinary" locations in Atlanta based on OSM with a map of the city.
By Jerry Shannon (@jerry_shannon)
@qgis @TlseMetropole @IGNFrance @Mapbox @opendataParis @OSM_FR My little contribution to the #30DayMapChallenge Day 12 - Movement Commuter flows in the Toulouse area made with @Mapbox & @InseeFr
By Tony Hauck (@Bill_Bluray)
541 Finnish railway stations! #30DayMapChallenge Day27:resources data:https://t.co/2JuCsf6IWb
By Kouvola Analytica 📊 (@analytiikka)
#30DayMapChallenge 12. Movement Grape flows to 3 cooperative wineries 🎇🎇🎇 Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge 3. Polygons- Glaciers in Iceland ❄️
By Shannon Gonzales (@yavannie24)
Blīvi apdzīvotas teritorijas (eksperimentālā statistika) #30DayMapChallenge
By Justin Meyers (@MapMakinMeyers) in USA
#30DayMapChallenge with #rspatial 5/30. Raster: Image is raster. Fake depth raster given to students: Explore your data before any analysis. You do not know what you can get !🙈🙊🙉 #rstats > See rasters everywhere: "Everything but maps with spatial tools" https://t.co/oUq3EvoESO
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge Day 8: Green. Air pollution in green #urban areas #Malaga on Sundays 12.00am @malaga @CopernicusECMWF @BosqueUrbanoMA
By Randbee (@RandbeeCo)
My #30DayMapChallenge no. 5 - the NIWA bathymetry model. My first time working with raster data. @fogonwater made a wayyyy better visualisation of this data in We Are Here 🙂. Code: https://t.co/kUnJOcF0QY
By Aaron Schiff (@aschiff)
🗺 No.8 Voronoi polygons of Japan National Park. Using bivariate color scale for park area and visitor. 🦉 Code: https://t.co/bGApQlfxL7 #30DayMapChallenge
By Uryu Shinya (@u_ribo)
Today's #30DayMapChallenge is "Experimental". While I am a huge anti-fan of GoT, I 💙 fantasy maps and it turns out there is a GISofThrones! (https://t.co/j7XyR8VWRa). Here's a rough 1st experimental cut (only had ~30m free this AM) using #rstats {sf} {ggimage} {ggplot2}
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge 1.Points Waze Incidents in Victoria.
By Simon Jackson (@SimonGIS)
#30DayMapChallenge Day 21. Environment. Tree database of Helsinki. Trees classified by their max height. Looked nicer in QGIS layout composer and U think this could be something that I could work with a bit more :)
By Sanna Jokela (@SannaJokela1)
Day 12 of #30DayMapChallenge - Movement Daily movement of a cow for 15 days Pature - milking parlor #paturage #agriculture #carto #data #tracking
By Ben (@benfriin)
#30DayMapChallenge 5 - blue (pre-emptive of tmrw because i won't have time) London in Blue - 5km from the geographic centre of London. Processing done in #qgis with building shapefile from @undertheraedar , visualised in @tableau check it https://t.co/ycOk4TTfIs
By A. D. Mac (@AdiBop_)
#30DayMapChallenge 12. Movement I tried many ideas for movement. And finally decided on movement of people. (i.e. how cities population in 🇨🇮increased/decreased between 1980 and 2015) data:https://t.co/hqSW535Seq #dataviz #maps #ggplot #rstats #urban #cotedivoire #sdg11 #city
By Olga Kononykhina (@bettermeasured)
@Tutuchan @OSM_FR @opendatasoft_fr #30DayMapChallenge with #rspatial 11/30. Elevation. How I use to fake elevation before #rayshader using {raster} hillShade and well chosen transparency. Elevation of Loire-atlantique 🗻, with higher water level 🌊 using {tmap}. #rstats
By Sébastien Rochette (@StatnMap)
Day 20 of #30DayMapChallenge – Rural: Tongariro National Park
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge I was away and I need to catch up! Day 8: Green. Greenland!
By Zlata Popelnuh (@popelnuhh)
Here's my Urban map for day 18 of the #30DayMapChallenge. This shows the age of buildings in central DC. Once again shouts to https://t.co/h580lgI1k0. This dataset has EVERY building in the District! #DC #Cartography
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge Day 14: Boundaries. Early maps of the Adirondack Park used blue ink for the park boundary. The boundary line became known as the Blue Line and the name is still used today. It was a challenging day to find time to map, so this is a work in progress...
By Craig Williams (@williamscraigm)
Day 8 of the #30DayMapChallenge and today it's an @OrdnanceSurvey Greenspaces map of the UK. Simple and effective use of colours in #ArcGIS can produce some really beautiful maps.
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge Day 14. Boundaries. I tried to test how to make a nice world map with boundaries ==>So here is a world without boundaries. Also noticed that QGIS has "some" issues with odd projections. Data: natural earth countries, projection: World Equidistant Conic
By Sanna Jokela (@SannaJokela1)
#30DayMapChallenge Day 5 - Raster: Just a quick #NDVI of Landsat 8 imagery around Fort Myers, Florida. Interesting patterns emerge: golf courses, a nature preserve, and limestone quarry tailings (I think??)
By Tim St. Onge (@TimStOnge)
🗺No.12 Bus route mapping 🚌 #GTFS format files are nice. Tools: R, #ggplot2, gganimate, sf, ggspatial, and gtfsrouter! Code: https://t.co/4OSSkQwVYP #30DayMapChallenge
By Uryu Shinya (@u_ribo)
#30daymapchallenge Day 13 - Tacks. Tracks of 33 birds (Golden Eagles) over ten years. Tools: Plotly Python Data: Movebank Repository
By Abdishakur (@shakasom)
#30DayMapChallenge Day 27 : Resources - Bibliothèques et médiathèques dans la Métropole Européenne de Lille #MEL #RStats #OpenData https://t.co/ubKzi1SbCc
By Cécile Rodrigues (@Grisoudre)
¿Vivir en una gran ciudad o en el campo? 🏞️🏙️ Detrás de la respuesta hay distintas circunstancias, sueños, necesidades y oportunidades. La realidad: el mundo se ha urbanizado y la proporción de #PoblaciónRural disminuye. % de #Población #Rural x país 1950-2018 #30DayMapChallenge
By AgroDer (@AgroDer)
Trying again to post a smaller gif file for Day 12 to twitter #30dayMapChallenge
By Kylie Wilson (@_kyliejane)
#30DayMapChallenge Day 20: Rural Highlighting lack of #broadband access outside Ireland’s cities
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge Day 2: Lines. I remember seeing a map of typhoons inside the Philippines from @mapmakerdavid and wondering what a Caribbean version would look like, so here it is:
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 22: Built Environment. One last recycled project... Wellington City. Wellington DSM, DEM and aerial imagery. Notice the scars from the roads cut into the sides of the steep hills. Data @LINZLDS. Bathy interpolation with SAGA GIS. Vis with @QGIS and @OSGeo
By XYCarto (@XyCarto)
#30DayMapChallenge, Day 11: Elevation. I'm a data maps person by training, so this has been a good chance to sharpen skills with raster mapping. This one is just a start--detail is hard!
By Jerry Shannon (@jerry_shannon)
Northern Ireland Properties & Elevation above sea level. #PointerPropertyDatabase @osni_maps @QUBGeography #GIS #Mapping #GeoVis #30DayMapChallenge
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
Day 2 of the #30DayMapChallenge is about lines, so here’s one we did a few years ago, showing the highway network in The Netherlands as an abstraction. #lovemaps #cartography
By One Stop Map (@onestopmap)
#30DayMapChallenge N veces decretos de escasez hídrica superficial en la cuenca del Maipo, 2008 a 2019. Más oscuro, corresponde a mayor N. En este caso la peor dentro de la RM es comuna de Melipilla 6 veces, fuente DGA. (cc siguiendo ej. d @Juanizio_C , haría Chile, pero tiempo.)
By fer (@a3065794)
#30DayMapChallenge Day 14. Boundaries Every Public Land Survey System section in Kansas vs. current Native American reservation & land trust areas. A staggering amount of genocide, theft, & displacement led to these boundaries.
By Travis White (@visualvariable)
#30DayMapChallenge Day 3, polygons, Bing building layer.
By Innisfree (@Innisfree)
Day 7 of the #30DayMapChallenge : Red…GTFS Data Inclusion with thematic on the Chicago Metro Red Line. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 1: each point represents 10 people by their highest level of education > Metropolitan Region of São Paulo, Brazil #dotmap #gis @PNUDBrasil @ibgecomunica datasets
By carolina passos (@carolpos)
Day 28 funny #30dayMapChallenge Fun for Sydney NYE 😂 made in QGIS.
By Kylie Wilson (@_kyliejane)
My contribution to the #30DayMapChallenge which may be one of my only ones based on how my month is looking...but it was fun. Theme inspired by @hrbrmstr and #rstats albersusa package. Spurious correlations invited. :) Code will be up shortly.
By Ryan Peek (@riverpeek)
Day 25: Hydrology More experiments in nudging @vega_vis Vega-Lite away from standard choropleth mapping. Here accumulated flow lines (vectors in steepest downhill direction) show potential for stream formation. Workings & data: https://t.co/m1LQckMCAh #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Día 9. Amarillo. Potencial energía solar en el estado de Jalisco. ¿Tú la aprovechas de alguna forma?
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge Day 29: Experimental An old project designed in @eligeeducar 💚 An urban environmental index for schools in Santiago / Un índice de entorno urbano para colegios Data from EE, @Mineduc @agenciaeduca (...)
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 16: Places Main ports of Europe. Most sea passenger traffic happens between Helsinki-Tallinn-Stockholm and Dover-Calais #northernplaces
By Positium (@positium)
Day 28 of the #30DayMapChallenge - Funny If you're looking for a good laugh then where better to head to than a Comedy Club? This map shows the locations of Comedy Clubs across Central London and it suggests that Leicester Square is the funniest place in the capital!
By GeomniUK (@GeomniUK)
#30DayMapChallenge POLYGONS Triangulated irregular network (TIN) interpolation. Delaunay triangulation. PERSIANN-CCS rainfall over Crete Island 2019/01 (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks, CCS 0.04 deg.) Res: 0.0008333 deg
By Vitali Díaz (@Vitali_DiMe)
Day 3 of #30DayMapChallenge - Polygons Forests in Hungary Data from @openstreetmap viz with #Tableau
By Kovács Ivett (@IvettAlexa)
#30DayMapChallenge - Day 8: Green // DEM of the #Alps including names of mountain ranges. #QGIS
By Valentin Schalk (@SchalkValentin)
#30DayMapChallenge Day 7: Red Continuing the celebration of the new college basketball season with the 'RED' @ncaawbb & @marchmadness programs (a few orange ones slipped in there too). Again, map was made with #rstats packages: #ggplot, #sf, #ggmap, and #ggrepel
By R.Richard (@rorich)
#30DayMapChallenge Day 16: Places. There's no place like a Finnish school! The Pro (=job) version of Power BI doesn't allow me to share, so here's the .pbix file if you want to check: https://t.co/7EvRjOEMcW Data imported with #rstats from https://t.co/wbXIWCjh92 @Maanmittaus
By Tuija Sonkkila (@ttso) in Finland
Polygons. Percentage of supercharged cars per municipality in Finland. So much rad! Data: @TraficomFinland, @Tilastokeskus, tools: @qgis, @rstudio, @GIMP_Official, @inkscape #30DayMapChallenge #rad
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge 27: Resources Chickens! Literally hundreds of millions of chickens on the Delmarva Peninsula. Data from @USDA Census of Agriculture Map made in #QGIS 3.8
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge 8. Green: Cultural heritage objects in Estonia
By Evelyn (@evelynuuemaa)
Known craters in India #30DayMapChallenge #maps #apocalypse #crater #topography #raster
By Vaibhav Bhawsar (@voybhav)
Dia 16: Places. (Un dia tard) Cims de més de 2000m a Catalunya. Dades i mapa base d' @openstreetmap #QGIS i el mapa de localització... uff.. #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 20. Rural #30DayMapChallenge Not quite rural at all, but the map shows the mining industry which has more than 2400 establishments throughout Mexico, the mining sector contributes with 4% of the national GDP.
By D. (@daniel_isita)
Day 9 of #30DayMapChallenge - yellow: Lighthouses. Code: https://t.co/CgDPm8YPV7
By Aaron Schiff (@aschiff)
#30DayMapChallenge Day 9 - Yellow (I know it's 24th...) I visualized the CERA dataset from @es_INE that lists Spaniards that are living abroad :) I consider it a personal dataset because I'm part of it
By Irene de la Torre (@inari_ta)
Covering air traffic to and from India in the 2019 Apr-Jun Quarter for #30DayMapChallenge. UAE and Kerala cities seem to be the most popular route during this time period. Source @DGCAIndia
By Ramya Ragupathy (@ramya_ragupathy)
Here we go, my quickie contribution to the #30DayMapChallenge Day 10: Black and white. Do you know which country is it? #QGIS #LEGO #maps
By Nicolás Corti (@corti_nicolas)
Day 4: Hexagons Same data as my Day 1 points, binned and normalized by population via Esri demographics. Outlined hex bins contained at least one mass murder. #30DayMapChallenge #WomenInGeospatial #ArcGISPro #GunViolence
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 29 - Experimental: In the future, the only way to get people to pay attention to weather forecasts will be through cutesy emojis, so I'm just trying to be ahead of the curve🙃(Icons made by Freepik from https://t.co/A0Xv1EssiI)
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Day 25: Climate. Didn't have much of an idea where to go on this one and then something literally hit me in the face on the way home from work. So i managed to put at least something together albeit in a bit of a rush.
By Sam J (@samwise_v)
Playing catch-up on #30DayMapChallenge, Day 2 Lines: Here's some DC elevation contours and elevation-inspired neighborhood names!
By Tim St. Onge (@TimStOnge)
Day 19: Urban #30DayMapChallenge Year of construction of buildings in Amsterdam. I combined openstreetmap buildings with BAG addresses in Amsterdam. Data: BAG, BGT, OSM
By Leo (@hendrikxleo)
#30DayMapChallenge Day 25 : Climate - Lignes du Réseau Ferré National non-exploitées #Nord #RStats #OpenData https://t.co/rVZm4ghf74 https://t.co/hjbOA6Htvs
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge - Day 9 - Yellow doesn't seem a popular colour for single-hue maps, but using it here to map global banana trade market in #QGIS, using UN 2018 Preliminary Banana Market Review data 🍌EU countries apparently mad for them, with ~33% of all global banana imports
By Maedhbh Nic Lochlainn (@niclochg)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests 22. Built Environment #30DayMapChallenge The different roads of North America. #qgis #roads #northamerica #mexico #maporn
By D. (@daniel_isita)
#30DayMapChallenge Zones. San Diego county's climate zones in watercolor style. (forgot to post on Sunday...oops!)
By Barbara Kent (@SDGeoGirl)
I’m bringing out my inner physical geographer for today’s #30DayMapChallenge (Day 7: Red) - Iceland’s many volcanoes!
By Antonia Blankenberg (@blanky343)
#30DayMapChallenge 11. diena, augstums. Arī ģeodēzistiem ir savi G punkti. Valsts ģeodēziskā tīkla 0., 1. un 2. klases GPS punkti.
By Kristīne (@kriksine)
Little bit late for starting #30DayMapChallenge. It begins for me at day 4 with hexagons valuated by amount of seats at restaurants in Moscow.
By Александр Зуев (@Zuev34W)
#30DayMapChallenge Day 23: Population. Number of people over 90 in Scottish Local Authorities.
By Zlata Popelnuh (@popelnuhh)
Day 10 of the #30DayMapChallenge and I made a comparison map between a 1846 black and white map of Leeds and a 2019 colour map of Leeds. No university and no Hyde Park. A much smaller city with a lot more fields and open spaces than today!
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge 16. Places: due to lack of time a re-post of bus stops based on number of public transport trips per day in Estonia according to GTFS data. This map is included also in just newly published Estonian National Atlas 😊
By Evelyn (@evelynuuemaa)
@tjukanov #30DayMapChallenge day 7: Red Only red (or pink) metro lines in various cities. Data: OSM, Wikipedia Tools: QGIS, Excel, Adobe Illustrator
By Martin 🚡 (@MartinBangratz)
day 1 (points) queens community district 7 noise complaints throughout the day #OpenData #30DayMapChallenge
By Zhi He (@zhigus)
#30DayMapChallenge Day 11: Elevation. Minimal #Alps. Data; https://t.co/YyjaY0iOZy Method: https://t.co/r1widEZUn1 Tool: #QGIS
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge 30. Home All roads lead to home. Unless they don't. #osm #graphhopper #melbourne
By Simon Jackson (@SimonGIS)
A new day another #30DayMapChallenge late post. Day 14. #Boundaries An isolated patch of grass in a sea of tropical forest. The natural boundarie forest/soil it's so clear! A false color comparison with @USGSLandsat ➡️ #Sentinel2 ➡️ @planetlabs ➡️ #Worldview3
By Oscar Javier Espejo (@ojespejo)
RT tjukanov: Population change in southern Finland between 2005 and 2018. In the red 1 x 1 km squares population has decreased with more than five people and in the yellow squares there has been similar increase. #30DayMapChallenge Day 23: population.
By Rizwan Shaikh (@rizwan236)
@GeoConor #GIS #QUBGIS #RCIS Day 11 Elevation The Ring Dyke of Gullion & The Mourne Mountains Elevation surface & hillshade Cartographer Eduard Imhof Instructions @John_M_Nelson #30DayMapChallenge #GeographyAwarenessWeek #Ireland #UK #NorthernIreland MediaCourtesy @GeoConor
By Homestead Post Music (@HomesteadPost)
#30DayMapChallenge day 10: black and white. Eräs erityisen komea jyrkänne ja #QGIS multidirectional hillshaden testailua huomista korkeusteemaa varten. Lähteenä taas @Maanmittaus avointa dataa.
By Teemu Saloriutta (@TeemuSaloriutta)
Day 17 of the #30DayMapChallenge : Zones…Simple Global TimeZones (prefacing Day 18) map for a view of every timezone the team also supports! …and why do we have #DaylightSavingsTime still? #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge 5. Geostat 2011 Population Grid, 2018- info:https://t.co/AHtoGzkOpi, visu:https://t.co/AyL1SoMdvL, data:https://t.co/ojWeJneB5L, contrib:@EU_EurostatE4 Team-26days2go-inspired by @mirzacengic @cartocalypse
By hannes reuter (@hireuter)
Day 20 of #30DayMapChallenge - Rural - Pays Ploërmel Mode d'occupation du Sol (MOS) entre 2004 -2013 Evolution de l’artificialisation des sols : + 918 hectares sur 9 ans. #scot #urbanisation #agriculture @SIRSfr @regionbretagne
By Ben (@benfriin)
Day 20 #30DayMapChallenge #Rural I Conoce nuestro nivel de información de desarrollo económico rural de la ciudad y ubica las zonas de productividad. #LaIDEddeBogotá https://t.co/A97LMGdNa4
By Catastro Bogotá (@CatastroBogota)
Dia 13: Tracks. Com que de "Tracks" pistes d'atletisme, ja n'he fet molts... avui faig "Tracks" com a via fèrria. Xarxa Ferroviària: Via Ampla i Alta Velocitat. Dades: CNIG #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge 13. Tracks Tracks and elevation contours. @kartverket, PostGIS and Mapbox GL JS. Jotunheimen, Norway.
By Tore Halset (@torehalset)
#30DayMapChallenge Day 30 - Home. A hand drawn map of my street from memory. Phew we are done!
By Sweary Dave (@citizenfishy)
Day 1 of the #30DayMapChallenge - #points Non residential buildings in #Edinburgh from #GeomniUK Edition 7 of UKBuildings database. Non residential includes retail, industry, educational, offices, public buildings, health, religious, military and commercial.
By GeomniUK (@GeomniUK)
#30DayMapChallenge Day 10: Black and White - Heald Pond clean vector lines of a map that I screen printed on watercolor paper as a present for my father (my daughter helped paint the final version). Used @ArcGISPro and the 'Multiple Buffer Ring' tool to create inner lines
By Christopher Pollard (@CRVanPollard)
A bright and early post for today’s #30DayMapChallenge since I’m in an airport ✈️ This map shows density of towns containing “Achadh” in their name - a very interesting clustering to the north of the country
By Antonia Blankenberg (@blanky343)
@tjukanov #30DayMapChallenge Day 22-Built Environment #india houseless households 2011 @CensusIndia2021 @DataPortalIndia using #fme @SafeSoftware @qgis
By SRG (@Saint_GIS)
Day 30 (!!!!!) of #30DayMapChallenge – Home. Took stock of all the peppers and chilies I have at home and their origins. Had high hopes for this one but idk. Now back to my regular sleep schedule!!
By ಠ_ಠ (@DeniseDSLu)
Day 7: Green #30DayMapChallenge Public EV chargers in The Green Mountain state. Data: US alternative fuels (BTS), Natural Earth
By Leo (@hendrikxleo)
#30DayMapChallenge Day 14 - Boundaries. Boris wins the election, his mate Donald tells him that he needs to build WALLS! So Boris orders every county to get on with it. Who has to build the longest wall?? [Link to full image: https://t.co/YJ9khcwxyR]
By Sweary Dave (@citizenfishy)
Bathymetry in Liguria (IT) Late entry for Day 6: Blue - Data source: #Geoportal @RegLiguria, @istat_it, basemap @openstreetmap - Map done with @qgis #30DayMapChallenge
By Anna, Kerook (@kerooksblog)
#30DayMapChallenge Jours 19 : Urban & Jour 20 : Rural. Populations des zones urbaines et rurales dans le monde, chiffres milieu 2018. Source #unitednations
By Marlène Dorgny (@MarleneDorgny)
what's a #london hq company going to do for #30daymapchallenge day 17 #zones other than tube/oyster zones :-)
By GEOLYTIX (@Geolytix)
Work, residential and mixed areas in Tijuana Day 17:Zones #30DayMapChallenge #lovepredictinglocations #BigData @brunocaza all the best!
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge 1. Points All public transport stops in Switzerland, categorised by height above sea level. Data: https://t.co/v8wOZ5j5YR
By Martin Senn (@MartinSenn6)
#30DayMapChallenge Day 14: Boundaries 🌎 Lack of creative inspiration with thinking of how to animate 'boundaries'. So here is a rotating globe with tectonic plates as light flares and tsunami locations highlighted. data via: https://t.co/pqD8swp4Od #map #3d #animation
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge 7. Red Active fires detected by @NASA within the last 7 days, radius of the point relates to the brightness of the fire observed by the satellites. Extra close up on the recent blaze in Ventura County and on Brazil wild fires. Source: https://t.co/w38udzCCol
By Karim Douïeb (@karim_douieb)
#30DayMapChallenge 29. Experimental - Splitting country features in PostGIS to speed up ST_Intersects ~ 12ms consistently for the ID services from GISCO for LAU, NUTS+countries. Could we get it even faster ? Contributions by @EU_Eurostat E4 #GISCO Team - 1day2go
By hannes reuter (@hireuter)
Day 3 of #30DayMapChallenge – Polygons: Work in progress for a Lego map/model of Mt Ruapehu
By Andrew Tyrrell (@SouthArrowMaps)
Day 3 of our #30DayMapChallenge: Polygons We mapped out the people engaging with our first #30DayMapChallenge tweet It appears #Chile again is having fun with this challenge:)
By Tweepsmap (@tweepsmap)
Welp, not a strong effort but my cartographic #30DayMapChallenge journey is underway. Day One: Points - -Number of Fire Stations in Nebraska... with a fun lil' 🔥 theme. @NebraskaMAP #firefighters #thischallengewillconsumeme
By Marc Marean (@marcmarean)
#30DayMapChallenge Day 19: Urban🛣️ Quick animation of the evolution of @openstreetmap in Berlin for all the v1 additions of roads and buildings. Building height random - didn't have time to extract actual values. #map #3d #animation
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Day 10: Black and White🌎 Here is an ambient occlusion / monochrome version of my recent Halloween side project Cosmic Corals. Each Coral represents huge drive time catchments in the world's most populated cities. #map #3d #animation #dataviz
By Craig Taylor (@CraigTaylorGIS)
#30DayMapChallenge Day 19 Urban and Day 20 Rural. Degree of urbanisation as used in the European Statistical System, applied to Mexico (Source: INEGI. Population and Housing Census 2010).
By jlOlarteQ (@jlOlarteQ)
The affluence in Polanco #CDMX Day 4:Hexagons #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 7: Red Deforestation and fires before plantations of oil palms at Sumatra (Indonesia)
By Agnès Stienne (@odilon72)
For Day 13 of #30DayMapChallenge I decided to use "tracks" liberally and animate the U.S. railroad expansion over time with #rstats {sf} {ggplot2} {magick} Code/data: https://t.co/vNG5NE2Afn + BB/SrcHut/GL/GitUgh
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Day 18 (globe): Not only the land around the Mediterranean Sea is considered a Mediterranean ecoregion, it can also be found in California, Chile, South Africa and Australia #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 2 #30DayMapChallenge. Already in awe of the maps people are posting. I'm going for quantity not quality. Just the act of making something. This is QGIS homework using NYC OpenData. Roads on boroughs.
By Kiri Carini (@KiriCarini)
#30DayMapChallenge Day 14 boundaries "Viewpoints from Berlin East and Berlin West" nowadays. Inspired by Map Men episode about "Berlin Wall - Maps With Gaps" https://t.co/8Iw6OpXKaY
By Thomas gratier (@ThomasG77)
#30DayMapChallenge 29. Day: Experimental: Lego-style elevation map. For me first experiment with making lego-maps 😆😋 Followed simple guidelines by @AndriyYaremenko
By Evelyn (@evelynuuemaa)
#30DayMapChallenge - Day 30: Home - Average House Price on 2018 sales from @GOVUK Price Paid Data - brighter blue represents below average house price - brighter red represents above average house prices #GIS
By Cadcorp (@cadcorp)
#30DayMapChallenge DAY 19. Metropolitan typology based on NUTS, 2016 -info:https://t.co/8AjPlg6MCR -vis:https://t.co/Dt8qaJ4okf - joined contributions by @EU_Eurostat E4 #GISCO #REGIO Teams - 11days2go
By hannes reuter (@hireuter)
[EN] # Switzerland during the Last Glacial Maximum shows the maximum extent of glaciation in the Alps at the height of the last Ice Age around 24,000 years ago https://t.co/W0x90ywx7O by @swisstopo #30DayMapChallenge #climate
By geo.admin.ch (@swiss_geoportal)
Delimitación de la Col. Anzures y escuelas en la delegación Miguel Hidalgo #CDMX Day 14:Boundaries #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge 4. Hexagons Animated map of the 2016 U.S. presidential election with each state sized by its number of electoral votes. One hexagon corresponds to one electoral vote. Heavily inspired from the following @FiveThirtyEight article https://t.co/RYXO5LxeaU
By Karim Douïeb (@karim_douieb)
#30DayMapChallenge day 21: Environment Between two lakes, ecological corridors and protected natural areas
By Alice Caron (@Alice_Caron_)
#30DayMapChallenge 17. Zones Zones challenged me to learn more about Voronoi diagrams and its implementation in R. The result shows access to healthcare zones in #Ghana 🇬🇭 #dataviz #maps #ggplot #rstats #voronoi #sdg3 #healthcare #africa #health #hospital
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge 7-RED "Raging Ebola outbreak in D.R.C" Ebola is deadly ... and there is no end in sight donate for the efforts of WHO @tableaupublic @tableau @Mapbox @AdiBop_ https://t.co/6TwXp4TXmV
By Vinodh kumar V R (@VinodhDataArt)
#30DayMapChallenge Day 23 - Map of 'ordinary' European cities, with populations between 50,000 and 500,000, using Eurostat data. Not that big, not that small, just where and how loads of Europeans live.
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge (I have not given up!!) Day 20: Rural Out of the city there are other forms of land use / Fuera de la ciudad hay otras formas de usar el suelo Data from @conaf_minagri
By Juanizio Correa Parra (@Juanizio_C)
10.9 Millones de twits en 4 meses en México, sólo twits con georeferencia. #30DayMapChallenge Puntos. #datavisualization #DataScience #Analytics
By Carlos Cortés (@jccpmx)
#30DayMapChallenge #día 3 polígonos... Mapa Electorero AMLO 2018 México que armamos junto con @danygm87
By Emmanuel (@Landa23)
#30DayMapChallenge 17: zonas. Vilciena cenu zonu piecstūri.
By Zane (@atdodkonfektes) in Zane Atstāja
day 2: lines #30DayMapChallenge all flights
By carolina passos (@carolpos)
@qgis @TlseMetropole @IGNFrance My little contribution to the #30DayMapChallenge Day 7 - Red A global map of terrorist attacks from 1970 to 2016 : https://t.co/cqBsWlj4Av made with @mapbox & Global Terrorism Database
By Tony Hauck (@Bill_Bluray)
Day 8 > Green and environmental impact of urban sprawl in São Paulo #30DayMapChallenge
By carolina passos (@carolpos)
#30DayMapChallenge 26. Hydrology🌊 First i wanted to #dataviz @emcdda about cities' wastewater drug analysis and call it "and the party goes on". But no data to download, only interactive😭 So i searched for water towns instead. #maps #rstats #ggplot #Zhouzhuang #china #water
By Olga Kononykhina (@bettermeasured)
Precipitación en #México por estado en 2018 Day 26: Hidrology #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 26: Resources Where we could buy a book? Dónde podríamos comprar un libro? Por sugerencia de @cathyvignolo hoy mapeamos las librerías (bookstores) de Santiago.
By Juanizio Correa Parra (@Juanizio_C)
Here is some new fodder for all the #30daymapchallenge participants out there. Published for you this week - new urban imagery rasters for Manawatu and Hamilton. Perfect match for #day5: https://t.co/zB1KM14PaH #OpenData
By LINZ Data Service (@LINZLDS)
My #30DayMapChallenge nr 1: the 9.666 power plants in Europe, by fuel source. Made with @f_l_o_u_r_i_s_h All my challenges will be published on https://t.co/Rxq7W35yiD
By Maarten Lambrechts (@maartenzam)
Day 19 of the #30DayMapChallenge with the theme Urban. I was thinking about what defines an urban area, and how far it is from the closest H&M may have crossed my mind... 😂so here we have a comparison of the usual meshblock definitions & my new H&M based metric #rstats #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Jour6 : Blue Quels sont les pays qui comptent le plus d'utilisateurs de Facebook (en juillet 2019) ? Source @statista_com
By Marlène Dorgny (@MarleneDorgny)
#30DayMapChallenge Day 28 - Funny What do you get when you create a route linking all of the UK prisons? A CONtour map!
By Sweary Dave (@citizenfishy)
My submission for the #30DayMapChallenge day one: "Points". All the places in the world with "point" in its name! https://t.co/mfvdo2pH6e @tjukanov #gischat #geography #cartography #dataviz
By ⚫️ Kevin Pluck (@kevpluck)
Geolocated places of K-12 schools that were victims of ransomware, 2016-Sept 2019. Code: https://t.co/v5yFwHFKE7 (also on gl/bb/srht/ugh) #rstats #30DayMapChallenge
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
For Day 6 of the #30DayMapChallenge (blue) @RNLI open data - RNLI Stations to RNLI Callouts 2008-2016 using straight line analysis - by @ian_usher1985 #GIS
By Cadcorp (@cadcorp)
#30DayMapChallenge Day 4 : Hexagons - Hauts revenus dans les communes de la Métropole Européenne de Lille #RStats #Lille #MEL #OpenData https://t.co/z97e4roOmq
By Cécile Rodrigues (@Grisoudre)
@tjukanov @vega_vis Day 3: Polygons Inspired by Byrne's visual treatment of Euclid's Elements, the buildings and squares of Bloomsbury. Tavistock Sq, Bloomsbury Sq, Bedford Sq, Russell Sq, and the UK's largest: Linconln's Inn Fields. Workings & data: https://t.co/d1hNilTUzX #30DayMapChallenge
By Jo Wood (@jwoLondon)
Set out to do days 1&2 of #30DayMapChallenge but ended up doing day 13 ¯\_(ツ)_/¯ Just love the effect of this one:
By Anita Graser (@underdarkGIS)
#30DayMapChallenge day 4 This was a project I did trying to identify what single family homes in a given city had the highest potential for happiness. Each hex is 20 acres, categorized by mean score derived from intersecting parcels. #gischat
By Kyle W. Smith (@kwsSanDiego)
#30DayMapChallenge 4. Hexagons- Utah Income by county (First attempt at hexbin, so pretty sure I hit all the “no-no’s” in one map lol)
By Shannon Gonzales (@yavannie24)
Day 27: Resources Glaciers are such an important natural resource and source of freshwater. Here is a particularly cool looking blob of them in Alaska. #30DayMapChallenge #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
There's a lot of nuance lost here in a quickly styled zoning map of Seattle, but a peek at our abundance of single family zones (in gray). #30DayMapChallenge Day 17:Zones
By Ariel Kadouri (@akadouri)
Una vez más brincándome los demás mapas del #30DayMapChallenge, día 14: fronteras. Aquí las isocronas de ORS para la discoteca Las Pulgas en Tijuana (a 10, 20 y 30 minutos). Hecho con #QGIS.
By Manuel Toral (@jmtoralc)
Day 23 of the #30DayMapChallenge is population. Working from data provided by @nhgis, here's a map of free people of color (excluding those not counted by the Census) in the U.S. in 1830. Inspired by https://t.co/sZOkXy2lPR. This map done in #rstats with #tmap.
By Jerry Shannon (@jerry_shannon)
Got in late tonight from my flight, but had enough time for the #30daymapchallenge to throw some agricultural data up. This is farmland in the Mississippi delta colored by crop-type from the NASS CDL dataset.
By Carl Churchill (@Cchurchili)
Not a ton of spare time today for the #30DayMapChallenge, and also don't map global data (today's theme) very often. But here's a map of all 17,000+ Dollar Generals in the U.S. using Google Earth, showing them as the sun sets.
By Jerry Shannon (@jerry_shannon)
The final day! Day 30 of the #30DayMapChallenge launched by @tjukanov (home): this map shows countries where Positium's employees have lived vs countries where there have been major political protests in recent months. #maps #home #protests
By Positium (@positium)
Mx siembra 313 cultivos en 21 millones de ha, en 2,432 municipios. Para 44% de ellos (1,061) el #maíz es el principal cultivo en términos de valor. Claro que, si el mapa fuera por relevancia cultural y gastronómica, en todos ellos sería maíz🌽 #ElPaísDelMaíz #30DayMapChallenge
By AgroDer (@AgroDer)
For those that haven't, give tessellation a try sometime. Day 4 - Hexagons - #30DayMapChallenge Major stream data from Nebraska DNR and because I was feeling wild, kilometers instead of miles.
By Marc Marean (@marcmarean)
#30DayMapChallenge Day 29: Experimental: Lego - Tiree and Coll. Inspired by Estonian lego map from @evelynuuemaa Followed guide here: https://t.co/2neLnW07DW
By Zlata Popelnuh (@popelnuhh)
#30DayMapChallenge Day 4 #Hexagon "Fonditas" density Mexico City #Jupyter + #QGIS + #Sketch (cheap places to eat)
By Carmen Carro (@CarmenCarro_)
#30DayMapChallenge 6 | 7 Red | Blue Travel time to a city in red and to a port in blue; first nature means that they are rather similar (from @Dr_Andy_Nelson et al with methods specified in @ScientificData https://t.co/3fSumx3yGG)
By Andrew Renninger (@AndrewRenninger)
Day 11 #elevation #30DayMapChallenge 3d printed surface of #HighTatras with top-down #dataprojection of hiking trails of #StarySmokovec surroundings
By Miloslav Michalko (@m_michalko)
#30DayMapChallenge Day 4: Hexagons - Citrix Cycle Ride vertices aggregated to 5 acre hexagons. h/t @tomchadwin, @ricckli et al. for qgis2web https://t.co/Ak17mR2kjF
By maptastik (@maptastik)
Posting late but one of my favorite maps I ever made because when else in academia would I ever make this... @kanyewest SAINT PABLO TOUR #30DayMapChallenge Day 2: LINES All colors taken from hex-codes from album cover with font types. #saintpablo #kanye #terriblemaps
By Marc Marean (@marcmarean)
#30DayMapChallenge | Day 1 (Points) + Day 7 (Red) The "Pulse of Paris". Explained: Intensity of use of activities across 7 days a week with hourly resolution. Based on time-tagged Points of Interest from Google popular hours dataset.
By FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰 (@filipebatsilv)
#30DayMapChallenge Day 09 - Yellow. Another first for me, thought I'd have a go at a classic in @qgis Leeds City Region by night, in three intuitively coloured layers; Roads and Buildings from @OrdnanceSurvey VectorMap District and Streetlights points from @DataGovUK
By AndrewBoltonBPDTS (@ABpdts)
#30DayMapChallenge 21. Built environment: tall buildings and structures in Estonia (vertical scale exaggerated by 50) 🗼🏬😋 #QGIS #threejs
By Evelyn (@evelynuuemaa)
Day 3 of #30DayMapChallenge: polygons. Average income decile for municipalities of the Valparaíso Region, #Chile. Data from INE, boundaries thanks to @pachamaltese. Code: https://t.co/0382e2OE08
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Day 3 (Polygons) - Administrative Map of Ghana's 16 Regions #30DayMapChallenge
By i'm HaWkrAd (@sammyhawkrad)
Day 04 - Hexagons, life expectancy of Melbourne City trees. made in #rstats with h3 hex grid and h3jsr 📦 https://t.co/IsaR99geHq code: https://t.co/s4vlbqp3gF #30DayMapChallenge
By Adam Gruer (@AdamGruer)
Day 8 of #30DayMapChallenge – Green. Here’s cultivated land in Iowa:
By ಠ_ಠ (@DeniseDSLu)
Day 15 names #30dayMapChallenge playing with labels in QGIS :)
By Kylie Wilson (@_kyliejane)
Día15:Nombres/#Xëëw Muchos de los topónimos de las localidades de #Oaxaca provienen de tres #lenguasindígenas: náhuatl, mixteco y zapoteco.En estas lenguas,los topónimos reflejan elementos sobresalientes del paisaje oaxaqueño: montañas, ríos y valles. #30daymapchallenge @IYIL2019
By Colmix (@Colmixe)
Was AFK Thu so here's tweet 1/2 for Day 13 "Borders" of #30DayMapChallenge I never really looked at the District borders and used #rstats {tigris} {sf} {ggplot2} to take a look at it in macro (this tweet) and micro (animated gif in next tweet). 1/2
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
Day 23:: Population Land area is a poor basis for choropleth mapping of population. Here are population weighted cartograms compared with conventional choropleths for US presidential elections since 1972. Workings & data: https://t.co/QdaJIo6uCB #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Day 1 : Points - Bars de Lille #RStats #Lille #OpenData https://t.co/Sha9y9ZMWw
By Cécile Rodrigues (@Grisoudre)
#30DayMapChallenge Day 13: Tracks 🐕 There was only one dataset I was going to use for 'tracks' and that's from my PlotMyPaws project. I tracked over 100 dog walks in my local conservation area to see the patterns different dogs take! #map #3d #animation #dogsoftwitter
By Craig Taylor (@CraigTaylorGIS)
@HSLdevcom Suosituimmat kaupunkipyöräreitit 10/2019. Reiteissä korostuu metroasemien (Ruoholahti, Lauttasaari ja Aalto-yliopisto) ja kaupunkipyöräasemien yhteys. Suosituin reitti Aalto-yliopisto (M), Korkeakouluaukio - Jämeräntaival, molempiin suuntiin. #30DayMapChallenge Day 24: Statistics
By Henri Blom (@greenpath_urban)
#30DayMapChallenge Day 5th - Raster I'm not sure if I've fone off-topic for this map. I went to @IGNSpain and checked their old maps. I found an old aerial photo of my city in Madrid. It has changed quite a lot since then. More info in https://t.co/HrFrcdGwzw
By Irene de la Torre (@inari_ta)
Day 1 of #30DayMapChallenge Each POINT represents one Philadelphian above or below poverty line. Screenshot taken just before an ArcGIS Pro crash (before saving) so while I would have changed the colors and add ACS 5 year as data source, it was time to go home on Friday.
By Jessica Hammond (@jh550)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests @Itwitius 27. Resources #30DayMapChallenge Human resources: police officers. This map shows the rate of police officers per 100,000 inhabitants in 2014, by state. #qgis #maporn #mexico #humanresources #police
By D. (@daniel_isita)
Day 24: Statistics #30DayMapChallenge Cumulative fishing hours in the Canal in 2015. Data: https://t.co/MYBmI16waI https://t.co/d2o1I7kpJx
By Leo (@hendrikxleo)
Casi que no!, late late #30DayMapChallenge Day 3-Polygons... Algo muy sencillo: "localidades de Bogotá", ciudad donde alguna vez viví... Les comparto código en #R #rstatsEs #DatosDeMiércoles #mapadeBogotá #visualizaciondedatos #colomviza
By Edwin Mendivil Barceló (@vizualdatos)
Day 3 of the #30DayMapChallenge, polygons. Buildings by type in Lauttasaari, Helsinki, Finland.
By Matti Kokkonen (@MattiJKokkonen)
Predominant Socio-economic levels (D+, D) Day 9:Yellow #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
💡Para el día 4 (hexágonos) de #30DayMapChallenge 🌍, armé un gráfico con la forma de la Provincia del Chaco con los hex-stickers de rstudio. Utilicé como guía el post🔗 https://t.co/noRVPoQsNr de @mitchoharawild #datosdemieRcoles #rstatsES #magick #rgdal #sf
By 【𝑃𝑎𝑡𝑟𝑖𝑐𝑖𝑎 𝐿𝑜𝑡𝑜】 (@patriloto)
#30DayMapChallenge 5. Raster Fire Danger Rating forecast from #BOM in and around Brisbane. Rush job/pacing myself. https://t.co/C4FTXtRYiO
By Simon Jackson (@SimonGIS)
My #30DayMapChallenge no. 4 - hexbinned tree points in the NZ 1:50k topographic data. I don’t know how well this shows actual tree coverage. And I couldn’t figure out how to put the zero (white) category in the legend 😔. Code: https://t.co/oxVJrnsTHV
By Aaron Schiff (@aschiff)
#30DayMapChallenge 8: zaļš. Par bezjēdzīgiem datiem. Zaļu padarīt vēl zaļāku - šīs vasaras veģetācijas indeksa summa Rīgā.
By Zane (@atdodkonfektes) in Zane Atstāja
Nivel de urbanización #CDMX y alrededores. Day 22: Built Environment #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge RASTER Elevation Crete Island, Greece
By Vitali Díaz (@Vitali_DiMe)
#30DayMapChallenge Day 18: Globe. Not a lot of time to map today, but I ~felt~ I should do something. Here's version of the moon-sized, deep-space mobile battle station constructed by the Galactic Empire.
By Craig Williams (@williamscraigm)
#30DayMapChallenge Day 5: Raster. Estonian elevation map (DTM).
By Zlata Popelnuh (@popelnuhh)
For today's #30DayMapChallenge - Places: My extremely limited travels, only ever within the US, mostly along the east coast with only a few trips west of the Appalachians. #Map in #QGIS 3.8. I'm loving playing with antique-looking styles & shapeburst Thx @PetersonGIS
By Philip Pierdomenico (@PhilPierdo)
Have you ever been to the mighty #BudapestCanyons? or the #MountDeadSea? 🙃 #30DayMapChallenge Day 6: Blue (kind of..I guess?) 🔨 tool: @CesiumJS #Cesium #Terrain
By Dénes Csala (@csaladenes)
Let's ignore all physical and cultural geography and just draw lines where the population is. #30DayMapChallenge Day 14: Boundaries.
By Ariel Kadouri (@akadouri)
Day 6 (blue): The coming days I will show some results of a climate change study we did in the Segura River basin (SE Spain). Today the change in precipitation under the business-as-usual scenario (RCP8.5), which will decrease, especially for the far future #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Day 10 black & white #30dayMapChallenge Playing with symbols trying to get hachure kinda things in qgis. Not very good but catching up. Could have spent days in Illustrator tidying that up & making it look hand made :)
By Kylie Wilson (@_kyliejane)
100 years of tropical storm tracks. Data: https://t.co/xLYCA0nnU5 #30DayMapChallenge #GISDay #QGISDay
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Day 23 - Population People that voted for the far-right candidate in Uruguay's 2019 presidential elections, by department. Some clear patterns emerging... #rstats
By Daniela de los Santos (@danidlsa)
Day 23 of #30DayMapChallenge: population Ethnic diversity in #Christchurch at the meshblock level. Herfindahl Index, lower is more diverse. Data from @StatisticsNZ 2013 Census https://t.co/fw3jst94uH + #Rstats. Code: https://t.co/i5umr94WuK
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
#30DayMapChallenge Day 6 - Blue A simple map of building footprints in Central Gothenburg.
By Abdishakur (@shakasom)
#30DayMapChallenge Day 1 Points. Locations of Churches of Scotland @churchscotland . Admittedly done in 2013 with ArcGIS but still my favourite example.
By Fiona Tweedie (@fjtweedie)
le caí al #30DayMapChallenge 1. Puntos A donde va la basura de #LaAraucania? (spoiler: la mitad termina en el Biobío, porque la mitad de los vertederos cerró en los ultimos diez años)
By #PiñeraRenuncia #PiñeraDictador #PiñeraAsesino (@seba_jh)
#30DayMapChallenge 13. Tracks Desire lines are those tracks on the ground where people walk, regardless of where planners wish them to. Here's a little one through a field in Sussex, marked up on the @OSleisure map.
By Helen Cooper (@HelenOfStow)
A day late 😪 with this experimental #30DayMapChallenge map of Irish Times 'Priced out' property coverage BUT to be fair I've been trying to find a good way to nail explaining these maps on and off for about a year so it's very experimental altogether... More detail below -1/3
By Maedhbh Nic Lochlainn (@niclochg)
@col_en_datos @qgis @CitiBikeNYC @VotoBici @PoliciaColombia A still behind schedule #day8 #30DayMapChallenge: Green. Square meters of green space per person (not distinguishing public space and main ecological structures). Gray areas= non-urban zones of the city. Source @dadepbogota , cc @blancaduranh
By DoctorJ (@garciaart3)
#30DayMapChallenge nr. 11, "Elevation". Hiervoor iets uit een gelukkig uitgebreid archief, Arnhem telt verschillende beschermde gezichten (meer hierover op https://t.co/2LKl1GXdfX) waar hoogteverschillen medebepalend zijn voor het karakter. Zoals in Geitenkamp:
By Bart Broex (@bbroex)
for days ~10 of the #30DayMapChallenge focusing on black+white (and colours), a dot chloropleth map of primary languages spoken in south africa. every dot here is 1000 people speaking that language
By Robert Hickman 🐝 (@robert_squared)
#30DayMapChallenge Dia 2. Líneas. En este mapa se muestra el largo recorrido que efectúa el agua de las cuencas del Lerma-Cutzamala hasta su llegada a los consumidores finales del poniente de la #CDMX y municipios aledaños. #Rstats con datos de Geocomunes.
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge Day 15: Names - Royal Pub names - Pubs with names containing Crown, King, Prince, Princess, Queen or Royal #pubs #openstreetmap #gis #qgis
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge, jour 11 : « altitude » est le thème imposé. Voilà donc ma carte des niveaux d’altitude en France métropolitaine inspirée par la pochette d’« Unknown Pleasures » de Joy Division (1979).
By Pierre Breteau (@pierrebrt)
#30DayMapChallenge Day 5: Raster One of the main factors of the social segregation of our city: the land market. Estimated value of land (USD/m2) in #Santiago / Valor estimado del suelo en Santiago (USD/m2) Model (EBK) with data of @Inciticom
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Día 30. Hogar. Es es el último día del reto y el tema es Hogar, un reconocimiento a @tjukanov por la iniciativa y nos vemos el próximo año
By IIEG Jalisco (@IIEGJ)
#30daymapchallenge 3 - polygons hex map of GB&NI parliamentary constituencies according to median weekly wages. hex done by shapefile. visualised in @tableau https://t.co/Q0VM1rX4uG
By A. D. Mac (@AdiBop_)
Day 3 of #30DayMapChallenge - Polygons! #insee #mapbox
By Ben (@benfriin)
Day 4 - Hexagons: #Denver Police Stops of Pedestrians (2011-2019), with data from Denver PD (https://t.co/m9MPcKsqc5) #30DayMapChallenge
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Hexagons elevations in Saudi Arabia Tools:QGIS Data:KSA boundaries from GADM & DEM data from SRTM
By Ahmad Fallatah (@am_fallatah)
#30DayMapChallenge Day 8: Yellow - Rail Network of Great Britain using #lightsaber symbology, because why not! 🚂#osopen #opensource #railway #QGIS #gischat #geography #cartography
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge 6. Blue Supervised Classification of Rockhampton Flood using DigitalGlobe imagery using Raster Functions in Pro.
By Simon Jackson (@SimonGIS)
#30DayMapChallenge RASTER Drought area India: Bihar, West Bengal, Odisha Standardized Precipitation Evapotranspiration Index (SPEI) if SPEI<=-1 then drought otherwise non-drought
By Vitali Díaz (@Vitali_DiMe)
Day 30 of the #30DayMapChallenge - holy shit you guys I did it! The last theme is Home, and here a snapshot of every place I've lived in New Zealand. I was a couple of weeks old when we moved to NZ, and we lived on Mt Ruapehu (2nd from the top) until the eruption in 1995/1996
By Emma Vitz (@EmmaVitz) in New Zealand
A late #30DayMapChallenge submission. Day4: hexagons. Information about Airbnb room in Beijing. Tools: @qgis and @tableau https://t.co/g3OpfD3p7I @tableaupublic #dataviz #图表挑战
By Yang Yu (@aptx4869yuyang)
Day 19 of #30DayMapChallenge - urban: Change in Auckland population density, 2018 census vs 2006. Code: https://t.co/IYGGU7kAv1
By Aaron Schiff (@aschiff)
#30DayMapChallenge day 16: This one is all about #places in #Belgium ;-)
By Michel Stuyts 🌍 (@michelstuyts)
Day 3: Polygons Spent a week doing the @kennethfield election maps thing – love it! Value by alpha, transparency is like a “strength” of win by vote share. Red won. #30DayMapChallenge #WomenInGeospatial #ArcGISPro
By Allison Cully (@AllisonCully) in Canada
Day 11 of the #30DayMapChallenge - #elevation Digital Surface Model of La Louvre, #Paris. Created from high resolution stereo #imagery of Paris flown in 2018.
By GeomniUK (@GeomniUK)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala 13. Tracks #30DayMapChallenge Railroad tracks throughout Mexico. Too bad they are not used for passengers. Source: INE cartography. #train #tracks #mexico #railroads
By D. (@daniel_isita)
Scotland's population is clustered around the border which is why SNP is not centered further north #30DayMapChallenge
By Sláinte Claus (@iamreddave)
#30DayMapChallenge number 6 (blue): Cross-border tourism from Timor Leste to Indonesia based on MPD. #maps #dataviz #tourism #mobiledata #datascience
By Positium (@positium)
Day 7 #30DayMapChallenge (Red) - Red New Zealand Place Names Made with QGIS and @LINZLDS data
By Andrew DC (@andrewdc_nz)
Day 2 lines - Transports lines using OSM data #OpenStreetMap #30DayMapChallenge Made with #QGIS atlas, #gdal for some preprocessing and ImageMagick for animation My repo for the challenge https://t.co/kKNOQkED1p FYI
By Thomas gratier (@ThomasG77)
#30DayMapChallenge 🗺️ Day 4: hexagons Total annual loss of bee colonies per US state 🇺🇸 🐝🐝🐝 Data source: https://t.co/PoQirOKj4y Tools: #rstats #rspatial #ggplot2 📈 @beeinformedinfo #bees #map #hexagons
By Mirza Cengic (@mirzacengic)
A hexagons #30DayMapChallenge day 4 Things in New Zealand (named locations in the New Zealand Gazetteer of place names). As NZers will recognise, this is not just a population aggregate, it is a crinkly geography aggregate. code https://t.co/aojbV908Xs
By David Hood (@Thoughtfulnz) in New Zealand
#30DayMapChallenge day 2: lines. Tree row patterns of four random towns in Finland. Data again from @Maanmittaus #OGCAPI beta: https://t.co/5ukCMj8JFh
By Teemu Saloriutta (@TeemuSaloriutta)
#30DayMapChallenge : Lines Day 2: UV Express Code Signs Utility vehicle (UV) drivers have a unique way of communicating with each other using their radios. This map shows how these drivers make sense of the places and roads through code signs (or some sort of an anti-language)
By ☁ (@patalgura)
#30DayMapChallenge Day 5: Blue Landsat image analysis of Glacier National Park snow and ice accumulations. Analysis looked at two decades of satellite data to measure snowfall and glacier health. #gis #geographyteacher #geography #map #maps #cartography
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge Day 26: hydrology. Meandering river Oulanka. From @Maanmittaus elevation models with QGIS.
By Topi Tjukanov (@tjukanov) in Finland
Day 6: Red #30DayMapChallenge NH3 emissions hotspots in India. Data: https://t.co/STX8h53jXT
By Leo (@hendrikxleo)
Boundaries between orienteering event organizers #30DayMapChallenge
By emil (@57x025)
Day 21 of #30DayMapChallenge - environment: New Zealand's four largest river networks (largest in the sense of having the most branches), including associated lakes. Code: https://t.co/g1yqXhkBn2
By Aaron Schiff (@aschiff)
#30DayMapChallenge 1981 - 2016 Typhoon Day 10 Black and White & Day 13 Tracks https://t.co/ZkS4O2ye2P @tableau @tableaupublic #map #dataviz #typhoon
By Yang Yu (@aptx4869yuyang)
Day 26 of #30DayMapChallenge is hydrology (not a subject I know anything about) so I drew a nice map of the Thames. I was going to add a profile but it seems that some sections of the river run backwards in my copy of the OpenRivers dataset!
By Ian Turton (@ijturton)
Cerca del 50% de los #homicidios dolosos se concentran en 35 de las 2,399 #colonias de la #CDMX #30DayMapChallenge
By Alidrisi Cartografía (@alidrisicarto)
#30DayMapChallenge 15. Names: Blue-Black-White (sini-must-valge) Estonia - place names containing "blue", "black" or "white" 🇪🇪
By Evelyn (@evelynuuemaa)
For day 12 I’m looking at commuter origins for #EyreSquare from County #Galway using @CSOIreland #POWSCAR data from 2016 #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb @Datawrapper #30DayMapChallenge nr 29 (experimental): All 589 Belgian municipalities mapped on top of each other, variations
By Maarten Lambrechts (@maartenzam)
No one realized it - not even @SquirrelCensus? - but the numbers on my density plot were actually not sightings but estimated neighbors 🙈 Tried several smoothing bandwidths (it was huge by default, thus the pretty gradient) and decided to make the legend descriptive instead 🐿️ https://t.co/yCvPYHL2EI
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 20: Rural. Quick one today. What defines rural? For some it's just area that's not urban. So, how far from urban areas and clusters are portions of the US? (Yes, obvious border effects here, but not everyone can easily cross a border these days.)
By Craig Williams (@williamscraigm)
#30DayMapChallenge 19. Urban How do you define an urban area? It's not as straightforward as you might think! Here are three different data sets showing the urban extent of Oxford. @OrdnanceSurvey's Zoomstack, and two data sets from @ONSgeography.
By Helen Cooper (@HelenOfStow)
Day 12: Movement Flow maps across the US without the hairball. Pleased to be able to implement an ODMap pattern in Vega-Lite @vega_vis https://t.co/yfGLuTecqU Workings & data: https://t.co/uRbFgwkHAn #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Day 20 - Urban I imagined the urban areas as the organs of an industrialised country connected by arterial trunk roads as veins. This is the closest I was able to get with my limited styling skills. Gunther von Hagens eat your heart out
By Sweary Dave (@citizenfishy)
#30DayMapChallenge 1.Polygons Building heights in Inner Sydney using Geoscape data.
By Simon Jackson (@SimonGIS)
Elevations of the UK and Ireland #30DayMapChallenge
By Neil Charles (@neilcharles_uk)
Tras 26 semanas de operación de la Unidad Guardián, se ha reducido en un 33.6 % los robos a negocio. 🚨🚔👮🏻👮 ♀🚗 #30DayMapChallenge
By Policía de Guadalupe (@ssp_guadalupe)
Day 8 of #30DayMapChallenge – Green: Auckland Vegetation from LiDAR
By Andrew Tyrrell (@SouthArrowMaps)
#30DayMapChallenge 14. Boundaries For a country whose surface is just the 133th of the world, The Netherlands is very good at reshaping administrative boundaries. We plotted all the municipalities since 1812 (fellow data nerds, look at all those changes. The horror! 😅)
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge 1. Points - Main cargo ports by gross weight of freight handled, 2017 - info at https://t.co/XzSlDjiVF6, data at https://t.co/hV5o1QBmTM - joined contributions by several colleagues from our @EU_Eurostat E4 Team - looking forward for the next 30 days - GISCO
By hannes reuter (@hireuter)
Dia 4: Hexàgons! Cada dia he de fer els mapes més ràpid pel poc temps :( però els hexagons són una eina força interessant i divertida de treballar! Piscines per hexàgon a Alpicat! L'anàlisi ha estat bastant per sobre i a ull, la veritat... Swimming pools #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
Day 26: #30DayMapChallenge theme: hydrology. The map shows the two main rivers (#Niger, #Benue) of Nigeria and also Lake Chad. #rstat #rayshader. Data: diva-gis
By Ifeoma Oti Egbogah MSc (@negbogah)
#30DayMapChallenge day 2: Lines - There are over 20 bridges across the River Forth and Firth of Forth #buildbridgesnotwalls #opensource #QGIS #QueensferryBridge #ForthRoadBridge #ForthBridge
By Kirsten Reilly (@_penguin_runner)
#30DayMapChallenge Day 2 - lines. Non stop routes from @Gatwick_Airport Surprisingly further than I thought. made in #QGIS
By Ian Turton (@ijturton)
Day 25 (climate): The Mediterranean Basin is names as one of the primary Hot Spots for climate change. These two maps summarize the climate of the Mediterranean of the last 30 years, with an obvious increase in temperature #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
Buses that go through Augšlīgatne to Cēsis, and improvised time table #30DayMapChallenge
By emil (@57x025)
Day 24 (statistics): These maps show three methods of visualizing uncertainty in maps. Today I also have published a new a blog post in which I explain these methods and discuss their pros and cons: https://t.co/bnyQY2Gm0r #30DayMapChallenge
By Joris Eekhout (@JorisEekhout)
På dag 8 er temaet grønt. De grønne landene i kartet har grønne pass #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
The idea for Day 29 "Experimental" of the #30DayMapChallenge evolved quite some time ago - and I am very happy with the result of #world #population stripes! Each stripe represents the distribution of humans on a latitudinal gradient from North to South and a width of 25km.
By Cédric Scherer (@CedScherer)
@tjukanov #30DayMapChallenge Day 29-Experimental @openstreetmap #Data as of 2019-11-26T21:18:03Z Water bodies for #TamilNadu State replaced with bounding box and random color assigned using #fme @SafeSoftware visualized @googleearth
By SRG (@Saint_GIS)
Just Palms and other trees in the City of Los Angeles, with some closeups 1. Points #30DayMapChallenge
By Omar Ureta (@theworksla)
#30DayMapChallenge Day 11: Elevation EQNZ – New Zealand elevation as graphic equalizer bars. Data LINZ (https://t.co/peyVJ1d4sm), made with QGIS.
By Hamish Campbell (@polemic)
Pretty excited about #30DayMapChallenge. Here's a first stab. My @GarminFitness tracks as heatmaps and lines, colored by activity, using #Python with @LeafletJS (folium) and @Mapbox. Imagine if each one of these tracks came with environmental data...
By Phil Bresnahan (@insituphile)
#30daymapchallenge day 28 is 'funny'. Hmmmm 🤔 This map activity is fun AND some would consider finding a #sasquatch in #BC rather funny! Great for #elementary #students learning about regional & historical places, animals and icons across #Canada: https://t.co/71XxyEBPXA
By GIS for Education (@GIS4Teachers)
#30DayMapChallenge day 11: a shaded relief based on the #dhm data by @info_vlaanderen on a @Wikimedia tile layer based on @openstreetmap data. // #elevation @ fort 5 in @GemeenteEdegem
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 10 - Black and White: Switched to Carto for a minimalist web map of Scotch whisky distilleries, sized by smokiness! Map here: https://t.co/8RlBCxeVKN Data here (U. of Edinburgh): https://t.co/zqVGtaZcFr
By Tim St. Onge (@TimStOnge)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 15 (names): spatial distribution of most popular female and male names in Belgium, for newborns and for total population
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 28: Funny Populated places from Natural Earth and the ratio of vowels and consonants in their (english) name. Yes, Switzerland is very generous.
By Flooh Perlot (@drawingdata)
#30DayMapChallenge Día 17. Zonificación. Modelo de Ordenamiento Ecológico Territorial del Estado de Jalisco a Escala 1:250,000, descarga la información en https://t.co/DqiISxLw5n
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge day 12: a simple route with profile data // #movement by #bike
By Michel Stuyts 🌍 (@michelstuyts)
Day 5 - raster - Nantes city "Water Islands" with and without jigsaw #30DayMapChallenge (experimented before to make https://t.co/I0fhwehfzf but no "good output") Made using Overpass API, osm2pgsql, QGIS, PostGIS, Osmium and Gimp
By Thomas gratier (@ThomasG77)
#30DayMapChallenge Day 25 - Climate - Mapping two things that contribute to climate change in EU using Eurostat data - national greenhouse gas emissions per capita AND bovine 🐄 populations as % of total EU28 cows. Ireland, punching above our weight with both 😪
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge 11. Elevation Lofoten, Norway. Terrain from @kartverket and ortophoto from @bingmaps displayed in @CesiumJS. Wrote a proxy from @kartverket ESRI elevation server to @CesiumJS heightmap-1.0.
By Tore Halset (@torehalset)
#30DayMapChallenge 14. Boundaries Kartverket, Oslo, Norway.
By Tore Halset (@torehalset)
Day 11 of #30DayMapChallenge (elevation): Elevation (palette at least)
By Anto Aasa (@antoaasa)
#30DayMapChallenge day 8: Green. Based on data from @NRCan @cristinapoiata and I mapped out the North American boreal zone (including the hemiboreal subzone). #cartography #dataviz #geography
By Richard Zimerman (@RichardZimerman)
Lines from block centroids in Atlanta to the closest SNAP-authorized supermarket. Colors show the three major chains. Map in QGIS (with some R sprinkled in). #30DayMapChallenge
By Jerry Shannon (@jerry_shannon)
Día 23, reto 'population' #30DayMapChallenge Estos días se me complicaron y no he podido seguir el ritmo al reto, así que voy con mapas sencillitos para ponerme al día. Fuente: mapa del @IGNSpain y datos del @es_INE .
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 9: Yellow #rstats Dados de atropelamentos em Sao Paulo
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge Day 16: places. All the places from GeoNames data as tiny points. https://t.co/JtIdcxy0CD
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge Day 28: Funny Figured I'd tackle the age old question of "Why did the 🐔 cross the road" but look at the *where* of the question instead! (Done by taking the # of Rds / the count of chickens per census unit) Made in: QGIS Source: Statistics Canada 1/2
By Sami Kurani (@SamiKurani)
#30DayMapChallenge day 11. Failed in elevation :D. This could be also considered: Experimental.
By Sanna Jokela (@SannaJokela1)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck #30DayMapChallenge nr 11 (elevation): The Terrils of Flanders (that's how we call spoil tips or slag heaps here) Very pleased with these ones
By Maarten Lambrechts (@maartenzam)
#30DayMapChallenge Day 1 (points): Locations of 1426 volcanoes in approximately the last 10,000 years Tools - #rstats
By Kristijan Bakaric (@kbakaric1)
I would love to bike to work but rarely do so🚲 - my contribution to "Day 12: #Movement" of the #30DayMapChallenge shows why... 🙄 ➡️ Roads with designated cycleways versus those without in #Berlin according to @OpenStreetMaps. #ggplot2 #tidyverse #rstats #dataviz
By Cédric Scherer (@CedScherer)
#30DayMapChallenge Day 19 - urban - using @CSOIreland settlement data and #OSM placenames, I'm mapping places with 'bally' in their name. 'Bally' comes from 'Baile' or town, so I like to think of this as the Irish language map of urban Ireland, which pays the border little mind.
By Maedhbh Nic Lochlainn (@niclochg)
@kartverket @NorskPolar @NASAEarth Can you spot the face? Railway tracks in and around Moscow. Data: OpenStreetMap #30DayMapChallenge Day 13: Tracks
By Jon Olav H. Eikenes (@jonolave)
#30DayMapChallenge 19. Urban: buildings in 5 Estonian biggest cities by population.
By Evelyn (@evelynuuemaa)
The City of Cherkasy. Perspective view without relief. #30DayMapChallenge Day 30: Home Data: OpenStreetMap contributors QGIS, Blender, Inkscape
By gontsa (@gontsa)
#30DayMapChallenge Jour 11: elevation Les villes de plus de 100 000 habitants se situant à plus de 2500 mètres d'altitude. Réalisation sous #khartis et #illustrator
By Marlène Dorgny (@MarleneDorgny)
DEM of Los Angeles 5. Raster #30DayMapChallenge
By Andy Rutkowski (@andy_rutkowski)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 19. Urban #30DayMapChallenge Big cities of central Mexico. #cities #mexico #qgis #maporn
By D. (@daniel_isita)
Day 22: Built environment One of the most fascinating built enviroments in the world to me is Venice. And I had no idea there was so much data! Expect to more of this place from me down the road! #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
Day27 - #resorces - #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
Day 18 of #30DayMapChallenge - globe: What I wanted to do didn't work out, so here's a consolation visualisation of the night/dawn/day/dusk/night times during 2019 at different locations in New Zealand. Code: https://t.co/pNHvrnLn2O #notreallyamap
By Aaron Schiff (@aschiff)
#30DayMapChallenge 8. Green Forrest, Norway.
By Tore Halset (@torehalset)
Day07 - #red Map of tweets concentration with #love #milan #30DayMapChallenge @tjukanov
By PJ #GISTonicker (@pj_go_2020)
Dublin’s #elevation compared to #OpenStreetMap tourism viewpoints across the county 📸 #30DayMapChallenge
By Antonia Blankenberg (@blanky343)
DAY26 #hydrology #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
Going for a quick hand drawn map of little imaginary interconnected islands. #30daymapchallenge Day 10: Black and White.
By Ariel Kadouri (@akadouri)
#30DayMapChallenge Day 1: Points 81938 Villages in Thailand Made with #qgis Source: Thailand MSDHS (2014)
By Note Dherapat (@prospero021)
#30DayMapChallenge Day 24. Statistics Almost every Dutch municipality has a fun fact! A few years ago we made this life sized poster with loads of stats: e.g. the number of fines for dog-💩, the price for a🍺& the number of ⛪️, 🐷, or 🚘 Large version 👉🏻https://t.co/P44Li3fpjQ
By LocalFocus (@LocalFocusNL)
@IYIL2019 Día16:Lugares/Mää yyïkpääty ¿Dónde están los lugares que tienen el nombre "mixe" incorporado en el título del negocio? ¿Qué tipo de negocio es? En este mapa se observan los tres destinos principales de la migración #mixe en México: Oaxaca, la CDMX y el Bajío. #30daymapchallenge
By Colmix (@Colmixe)
#zones day17 #30DayMapChallenge
By PJ #GISTonicker (@pj_go_2020)
#30DayMapChallenge Day 20: Rural highest Ozone concentrations are generated in rural areas actually in Sao Paulo state, following the wind flow https://t.co/sd6f9zEtCE #atmoschem #wrfchem
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
#30DayMapChallenge 13 - tracks wonderful train tracks of Oz. OSM data, #qgis.
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 5: Raster inverted dem using CleanTopo2, @pinakographos blender tutorial and a whole lot of open source software
By Pete King (@Generally_Geo)
28. Funny #30DayMapChallenge My first embroidery its a map that shows the mexican territory. #maporn #mexico #embroidery
By D. (@daniel_isita)
#30DayMapChallenge Day 2⃣2⃣ Built environment: Today's map acknowledges another great data source: the Global Urban Footprint (GUF), a global mask of built-up areas at a resolution of 12m produced by @DLR_de: https://t.co/h7gvOuUxqi The map shows GUF classification in Milan 🇮🇹
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge 25: Climate My home state of #Delaware (max elevation 448ft/137m) seen as the waters rise meter by meter 😪 Data from @USGS, map made in #QGIS 3.8, animated in GIMP
By Philip Pierdomenico (@PhilPierdo)
Today's theme of the MapChallenge is related to the population. Today is the Holodomor Remembrance Day In Ukraine. So I created this map. More https://t.co/cLnkfZLrsq #30DayMapChallenge Day 23: Population Data: Ukrainian Research Institute at Harvard University
By gontsa (@gontsa)
An extended #30DayMapChallenge. Nov 14. Boundaries. 2020 General Electorate Boundaries as proposed by the Electoral Commission, with implied partisan lean...
By Rustie (@rustie5555)
#30DayMapChallenge jour 3 - Polygones Pays Marennes Oléron : Un territoire constitué à plus de 40% d'eaux sans eau c'est un peu comme une carte sans légende : fade... Mais intéressant 😄 Données : Occupation du sol 2018 du Pays Marennes Oléron produite par @SIRSfr Outil : @qgis
By Aurelien Chaumet (@AurelienChaumet) in France
Dublin bus network from GTFS data, weighted by number of buses between 8 and 9 am #30DayMapChallenge #Day13 #Tracks
By Heikki Vesanto (@HeikkiVesanto)
#30DayMapChallenge 8/30 Green Apparently we have a 'kleurenbuurt' (color neighborhood) in Zoetermeer the Netherlands. So @stvno made a map with all the greenish streets in their respective colors Made with @qgis and @inkscape
By cartiqo (@cartiqomaps)
Day 6 of the #30DayMapChallenge. I made a river map of England using #Python and @geopandas. Darker blue indicates longer river stretches and lighter blue indicates shorter river stretches as mapped by the #WFD. Not bad for a first attempt at using python to visualise GIS data!
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge day 15: Names #rstats #ggplot2 #sf #rnaturalearth #ASIA
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Right, day 6 of #30DayMapChallenge: blue💙 Colombian rivers 🇨🇴
By Ana Lucía González (@anlugonz)
Today's map for "Hydrology" in the #30DayMapChallenge is looking like a zap ice lolly 🧡💛💚💙💜 the map shows the hydrology of the UK and the location of the rivers (coloured by river basin) - you can explore the map here: https://t.co/gbtTxzH9OZ #datavisualisation
By Emu Analytics (@emu_info)
#30DayMapChallenge Day 19. Urban Building footprints of Kansas' two most urbanized counties, Johnson (96%) & Wyandotte (94%). It's a bit blurred, but if you squint you can see my house.
By Travis White (@visualvariable)
#30DayMapChallenge 1. Points Distribution of Archaeological sites in China during the Neolithic Data source: https://t.co/nIW66s5coH
By Joseph Lewis (@josephlewis1992)
Tectonic plate boundaries from https://t.co/1qKJe2wO8C - #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge 29. Experimental. Comparing the size of Australia and Europe using #qgis and #b3d. Used two globes with transparency, rotating one globe with respect to the other.
By Steven Kay (@stevefaeembra)
#30DayMapChallenge Day 13: Tracks A track near where I live using a combination of @LINZLDS topo data and @greaterwgtn walking tracks. Finally got to use @drewfore tutorial to add some nice hachures to a finished map :) made with #QGIS and Inkscape
By Pete King (@Generally_Geo)
#30DayMapChallenge 2 - lines Same story - tableau default vs Albers Equal Area Conic for N American mainland railway lines. #mapbox #tableau #spatial here's a link (🧐 check out upper latitudes...) https://t.co/uvdCXs56EP
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 3 - Polygon - different building types of Vancouver using Open Street Map data #rstats (code here: https://t.co/jstZa0iX4K) (but not many are labeled "unknown"
By Chisato (@chisatini)
Day 22 of #30DayMapChallenge – Built Environment: Auckland CBD
By Andrew Tyrrell (@SouthArrowMaps)
Red Sea bathymetry for today's #30DayMapChallenge theme — "Red". Credit @gebcobathymetry for the awesome sea floor data. #Map #Cartography
By Riley D. Champine (@rileydchampine)
#30DayMapChallenge: dag 6 : #blauw // Concentratie van rioleringsknopen in #Edegem // #sewagesystem in #blue // #madewithqgis // based on own data and @openstreetmap
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 13: Tracks 🐾 Finally some maps focussing on #animal #movement 🥳 -#birdmigration data of white #storks from Rotics et al. (2018) published in @AnimalEcology and available via @MovebankTeam 🛰️🌍 Paper 📑 https://t.co/gmemmNnYv2
By Cédric Scherer (@CedScherer)
@f_l_o_u_r_i_s_h #30DayMapChallenge nr 6 (blue): hydrography of Flanders
By Maarten Lambrechts (@maartenzam)
Our maps of the weekend in the #30DayMapChallenge are ones on the location of bathing sites in England and air quality management areas in the UK, covering the themes of Places and Zones. You can explore the maps here: https://t.co/KzzzWy4y6d #locationinsights #datavisualisation
By Emu Analytics (@emu_info)
#30DayMapChallenge Day 5 - Raster Warm sunny day in Auckland had me dreaming of the beach. So I have took 60 of Waiheke's coves, bays and beaches as defined on OpenStreetMap, and exported the LINZ aerial imagery for each. 60 beaches at high res: https://t.co/dH91emlAOr
By Timmy (@gallicist)
Så grønt er det i Oslo! Dag 5 av #30DayMapChallenge med raster. #NDVI #Sentinel2
By Torstein S Throndsen (@TSThrondsen)
#30DayMapChallenge #Day5 - @CopernicusEU Corine raster - gif of "urban" Dublin. Please enjoy my urban/not urban classification, simplifying Corine code system and making urban studies folk (incl me) cringe 😅 But this is how "urban" landuse gets coded from satellite data y'all...
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge 24. Statistics-the possibilities are endless. Gender employment gap age 20-64 years in Labour Force Survey, 2018. -vis: https://t.co/QkChqlJhnR -data: https://t.co/nyWaj9XTDe -text:https://t.co/CePJ1xPgSD -contributions by @EU_Eurostat E4 GISCO Team - 6days2go
By hannes reuter (@hireuter)
#30DayMapChallenge Day 23: Population Estimation* of population variation between Census 2012 and 2017 / Estimación de la variación poblacional entre censos 2012 y 2017 *Experimental methodology / Metodología experimental Data from @INE_Chile
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 26: Hydrology Does frozen water count?😅 Glaciers around Mount Everest in blue. Data: Randolph Glacier Inventory (RGI 6.0) and TanDEM-X. #glaciers #dem #mapping #QGIS #blendmodes
By Livia Jakob (@livia_jakob)
#30DayMapChallenge Day 13: Tracks Highways and tenency of cars in #Santiago Autopistas y tenencia de autos en Santiago Evidencia importante a la hora de cuestionarnos quienes serán los mayores beneficiados con propuestas como #NoMasTag o los subsidios a AVO
By Juanizio Correa Parra (@Juanizio_C)
#30DayMapChallenge Day 21: Environment. Morro Rock is one of the Nine Sisters - a chain of volcanic plugs between Morro Bay and San Luis Obispo. Rendered here in @ArcGISPro with LIDAR from PG&E, a black background, and clearly visible points for a pointillism effect.
By Craig Williams (@williamscraigm)
#30DayMapChallenge 3.polygons: Distribution of bedrock outcrops colored based on age of strata in Estonia
By Evelyn (@evelynuuemaa)
Traffic directionality in Bogota's streets.Two ways (grey), One way (Red). #30daymapchallenge #QGIS #Bogota #Colombia Day 12 (Movement)
By Felipe Lancheros 🐯 (@MiniTigri)
Joining everyone who takes random data and colours them yellow #30DayMapChallenge
By emil (@57x025)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala 14. Boundaries #30DayMapChallenge Oaxaca is the Mexican state with the largest number of municipalities: it has 570 in addition to 30 different regions. #Oaxaca #MapPorn #Mexico #Municipio
By D. (@daniel_isita)
#30DayMapChallenge Dia 2: líneas Distancias relativas de ciudades colombianas en Norteamérica y Asia Coordenadas y distancias de algunas ciudades de Colombia trasladadas a otros lugares del mundo.
By Colombia en datos (@col_en_datos)
Environment! Finnish _Environment_ Institute is in Viikki and here's a motion-blurry glimpse of its _environnement_. Data: @Helsinki3D / @helsinki #30DayMapChallenge #blender #b3d #viikki #syke #opensource #opendata
By Faris Alsuhail (@AlsuhailFaris)
Day 18 of the #30DayMapChallenge with the theme Globe 🌏. I looked at unemployment rates and found massive variation in Africa, with Niger sitting at 0.25% & South Africa at 27%. Would you have guessed that South Africa has the highest rates globally? (I probably wouldn't have)
By Emma Vitz (@EmmaVitz) in New Zealand
Day 18: Globe #30DayMapChallenge I like to play around with map projections in #Qgis https://t.co/qZYtrPcjnW Data: Natural Earth Admin 0 countries
By Leo (@hendrikxleo)
Día 23: Población / Jää'y Al igual que las otras lenguas de México, la lengua #mixe está en riesgo, si bien en algunas comunidades + que en otras. Este mapa muestra el % de población de +5 años que habla #mixe y señala las comunidades donde este % es el menor. #30daymapchallenge
By Colmix (@Colmixe)
Bike tracks in New Zealand for the tracks theme 13 #30DayMapChallenge using DOC open data and #rstats Of the 120 official DOC routes, I have so far conquered 2!
By Kim Fitter (@Kim_Fitter)
Day 20: Rural #30DayMapChallenge Nobody lives here The Netherlands edition. This map is filled with 4101 1 km2 tiles where nobody lives. Data: Basisregistratie Adressen en Gebouwen (BAG), Provincie grenzen 2019
By Leo (@hendrikxleo)
#30DayMapChallenge 27. diena, resursi. Ir latviešu tauta - akmens, māls un smilts. 2015. - 2019. gads dolomīta karjerā "Akmenscūciņas". @CopernicusEU
By Kristīne (@kriksine)
#30DayMapChallenge day 28: The MultiMercator Globe // #funny
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 27: Resources (for your electric car) - quick map of charging stations for #ElectricCar in Berlin 🚗🔌 #eMobility #ggplot2 #rstats #dataviz
By Cédric Scherer (@CedScherer)
Dia 12: Moviment. Després d'una bona estona barallar-me amb més d'un milió de punts... i com que la meva privacitat ja està "venuda"... ha sortit! Punts d'ubicació GPS any 2019 (de Google). Catalunya, Europa i edició Brasil. Google Location History 2019 #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
Utilisation des transports en commun pour aller au travail : une cartographie à l’échelle nationale avec les données @InseeFr pour analyser le comportement des français. #30DayMapChallenge #BuiltWithMapbox https://t.co/3WmEKBJw8D
By visualizemap (@visualizemap)
#30DayMapChallenge (Borders). A simple map showing time zone borders in Canada. I had little time 🤨
By Philippe Massicotte (@philmassicotte)
Day 8 #30DayMapChallenge #Green I Sabías que los humedales son territorios que representan un importante patrimonio ambiental y cultural para Colombia. En ellos se conserva el ecosistema sociocultural para las naciones y el mundo. Conócelos https://t.co/dsm0FP5G16
By Catastro Bogotá (@CatastroBogota)
#30DayMapChallenge Day 27: Resources Water resources around the island of Ireland show the potential for the harnessing of #renewable wave energy 🌊
By Antonia Blankenberg (@blanky343)
My allusion. In 1639, Beauplan created the first "descriptive" map of Ukraine. «Delineatio Generalis Camporum Desertorum vulgo Ukraina. Cum adjacentibus Provinciis» the main feature - oriented to the south. #30DayMapChallenge Day 28: Funny Data: #OpenStreetMap contributors, #qgis
By gontsa (@gontsa)
#30DayMapChallenge Day 16: Places a #leavingmap for @sgmillinery showing places with hats or heads in their name around Glasgow #QGIS
By Nadiia (@NadiiaGorash)
#30DayMapChallenge Day 10 (black & white): Density of streams in 100m grid
By Anto Aasa (@antoaasa)
#30DayMapChallenge 9. Yellow A warning Slime mold is very cool and researchers have used it to study geographic networks. It is critical that investigators observe strict protocols to keep their charges from wandering about, misusing what they’ve been taught.
By John O'Leary (@OLjohnel)
@tomchadwin @ricckli #30DayMapChallenge Day 6: Red - Something for the Canadian mappers out there. @realredgreen 2019 Canadian Tour stops + non-Web Mercator web mapping with @CARTO https://t.co/hkvoz10Gai
By maptastik (@maptastik)
#30DayMapChallenge Day 5 Raster. Relieve de Colombia, generado con #R. 3 paletas de colores para escoger :) #rstats #rstatsEs #DatosDeMiercoles #visualizaciondedatos #mapadecolombia #gis #rastermap #dataviz #beautifulmap #colombia #tmap
By Edwin Mendivil Barceló (@vizualdatos)
Day 6 (Blau) of #30DayMapChallenge. Used #Gimp for this one. Seabed data from @EMODnet 🔷🌍
By Joaquin Beltran (@kimus_93)
#30DayMapChallenge with #rspatial 7/30. Red. Where can I drink my every day glass of red wine in France 🍷? In cafes and bars ? Use @Tutuchan package {fodr} to extract @OSM_FR data from @opendatasoft_fr api. #rstatsFR > {fodr}: https://t.co/agfGcO8WjF
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge | Day 5: Raster Tourism capacity in Europe (No. of rooms per 10 sq. km cells, based on Booking and TripAdvisor platforms). More info: https://t.co/UG8znohIeZ
By FBS 🇵🇹 🇮🇹 🇪🇺 🇭🇰 (@filipebatsilv)
#30DayMapChallenge Day 2⃣3⃣ Population: Population density per square km grid cell in EU Member States, derived from Corine Land Cover 2000. Source: @EUEnvironment (via @EU_DataPortal): https://t.co/EoVXKLSLk9 Map: @qgis
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge , day 10 black and white. And it's a schwarzplan of my home-city Volgograd. Big linear city awfully not complete at OSM, and it makes a little difficulties with urban fabric analysis.
By Александр Зуев (@Zuev34W)
Don't think I'll do the whole #30daymapchallenge but as a quick sketch of day 1 (Points), here are all the trees in the New York Tree Census of 2015. Colours are species. Done in R. Huge version: https://t.co/MCOMNsUy1G Data: https://t.co/e8KweLFtGy
By Ryan Bateman (@rynbtmn)
#30DayMapChallenge Day 11 - Elevation: Aside from imagery, the geographic impact of mountaintop removal coal mining is apparent in elevation contours too. Take this scene near Madison, West Virginia (Data: WV GIS Technical Center)
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge 10- Black and White. Oversimplified and no sense jittered Sardinian Local Administrative Units (aka Comuni). Is not really a map.... but it's sunday
By Andria Tzedda (@Andria_Tzedda)
For todays #30DayMapChallenge I took some old data lying around to show a often-forgotten part of amerindian history. The Iréchecua Tzintzuntzáni / Tarascan State was the largest empire in Mesoamerica after the Aztecs. Its unique culture remains today among the Purépecha people.
By Carl Churchill (@Cchurchili)
Day 15: Names #30DayMapChallenge Did you ever wonder about three letter placenames? Here's a map with 56 three letter places in North East Italy Data: OSM, Natural Earth, Stamen terrain, EU_DEM
By Leo (@hendrikxleo)
Day 24 of #30DayMapChallenge statistics, a new statistic to me Job Density. > 1 means more jobs than residents so there are a lot of commuters, < 1 either implies a lot of out commuting or unemployment,
By Ian Turton (@ijturton)
India's mountains from @openstreetmap on a map for #30DayMapChallenge Dataset available here: https://t.co/ZNE50i9y6G
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge 5. Raster Raster elevation from @kartverket in @CesiumJS. Halset, Arnafjord, Norway. No need to set terrainExaggeration in Norwegian fjords.
By Tore Halset (@torehalset)
#30DayMapChallenge Day 23: Population Salton City, California...A population that never came. They built it for 40,000 and no one showed up! #gis #geography #geographyteacher #cartography #maps #map #Saltonsea #saltoncity
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge Day 30: Home The 30day challenge has been a blast, I really enjoyed pushing myself and learning, but mostly being inspired by all the amazing maps and ideas people have shared. Thanks everyone
By Pete King (@Generally_Geo)
#30DayMapChallenge 1. Points - Bus stops distribution and concentration in the Island of Sardinia cc @OpendataCorsica @openras @Sard_opendata
By Andria Tzedda (@Andria_Tzedda)
Day 2 of #30DayMapChallenge: lines. Streets in one of my favorite cities: #Valparaíso, #Chile. Centered around Cerro Playa Ancha, I love the contrast between the grid near the ocean and the curves in the hills. Code is super simple thanks to osmoplotr: https://t.co/0XnNVNi5r7
By Luis Apiolaza (@zentree / Luis Apiolaza ⏚) in New Zealand
Day 7 (Red) of #30DayMapChallenge. Production de vin rouge par hectare de vignoble par département. Data from: @douane_france, shapefile from @datagouvfr 🍷🇫🇷
By Joaquin Beltran (@kimus_93)
Parce qu'un peu de couleur rend tout plus joyeux 😄 #30DayMapChallenge jour 1 sur les points à la traine... Les cessions immobilières de l'Etat français entre 2013 et 2017 via @datagouvfr https://t.co/bBm6KFpv3Q
By Aurelien Chaumet (@AurelienChaumet) in France
#30DayMapChallenge 18. Globe Global theme requires #dataviz of global problems. right? Digital financial (in/ex)clusion is quite remarkable when you look at how poor and rich people use digital financial tools. data: @worldbankdata #maps #rstats #sdg10 #inequality #fintech
By Olga Kononykhina (@bettermeasured)
#30DayMapChallenge 26.diena, hidroloģija. Latvija ir bagāta ar krāsām. Zilo ezeru zeme, bet vai tiešām?
By Kristīne (@kriksine)
#30DayMapChallenge Day 27: Resources. Tahualtapa aka Mount Slover has been reduced to a small hill due to mining. I traced 1896 contours to recreate the mountain in 3D to get some perspective on its original stature.
By Craig Williams (@williamscraigm)
#30DayMapChallenge with #rspatial 6/30. Blue: To me "blue" is the colour of the ocean🌊. This is a good opportunity to put data from my PhD in marine biology back to life. Distribution of flatfishes in the Eastern Channel 🐟 > More about my PhD project: https://t.co/m0nvMuvXty
By Sébastien Rochette (@StatnMap)
Today's #30DayMapChallenge theme is urban, and I used Google Earth Studio to plot a track along MetroTransit's Blue Line in Minneapolis, from the mall to downtown, then veering over to the Social Science tower and my alma mater, @UMNGeography. HD video: https://t.co/uMgrDCifGI
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge Day 27 - Resources When I hear resources it reminds me of mines. For all you Poldark fans did you realise just how many tin mines there were in Cornwall? I believe the working tin mine count is now zero.
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Day 22 - Built Environment Today's map is a joint effort with my son who is building an immersive game situated in the real built environment @xmpli. This video shows a fly through of a virtual Brixham built upon Ordnance Survey data
By Sweary Dave (@citizenfishy)
Day 2 of #30DayMapChallenge — Lines Animated timelapse showing 24-hours of air traffic over @HeathrowAirport. 🔴🛬 Arrivals 🔵🛫 Departures Tools: Custom WebGL & GPU animation using @threejs_org Data: @OpenSkyNetwork
By Robin Hawkes (@robhawkes)
Day 23 (population): Iranian cities by gender #30DayMapChallenge
By Positium (@positium)
This is my "Polygon" map for the #30DayMapChallenge. The Public Land Survey System traces the lakeshore in this wonderful #8bit manner. I colored sections by number... it's useless but looks pretty cool to me. #Michigan #Cartography
By Riley D. Champine (@rileydchampine)
Managed to crank out Day 6's ("Blue") #30DayMapChallenge. I'm using the fairly broad categories to suggest the map did not have to be all "blue" and that "blue" can mean ☹️ Data: https://t.co/s2d98LLDv6 #rstats code https://t.co/o0yG9YbuDW and GL/BB/Srchut/GitUgh
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 8: Blue - Blueprint inspired map of Wake County municipalities. I'm realizing now that I've been doing the colors out of order. Oops! https://t.co/vvUNWDZqH9
By maptastik (@maptastik)
En mi ciudad las @GuaguasLPA son amarillas, y amarillo es el color del día 9 en el #30DayMapChallenge, así que lo aprovecho para seguir cacharreando con la visualización de GTFS.
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge Day 11 - Elevation Highly inspired by the amazing map of the moon by @OrdnanceSurvey. I was looking forward to doing this map since the beginning of the challenge. First time doing hillshades directly in QGis.
By Irene de la Torre (@inari_ta)
#30daymapchallenge day #10 (Balck & White). Made with #rstats.
By Philippe Massicotte (@philmassicotte)
Day 10 of #30DayMapChallenge - black and white: New Zealand airports (ordered from north to south). Code: https://t.co/6CC8Kl5SGj
By Aaron Schiff (@aschiff)
#30DayMapChallenge Day 15 - names Le prénom des maires, région Grand Est, France The first name of mayors, Grand Est, french region #QGIS @datagouvfr
By JulGrrd (@GrrdJul)
#30DayMapChallenge Dia 7. Rojo (Red). Versión 1. Estados del México clasificados por el nombre que le dan al fruto de la planta Solanum lycopersicum 🍅 #RstatEs con datos provenientes de sondeo con mis amigos, twitter y un articulo de la Academia Mexicana de la Lengua.
By Juvenal (@JuvenalCamposF)
Day 7 of the #30DayMapChallenge. For today's red theme, I mapped the points of all recorded fire incidents from @LondonFire between January 2009 to December 2012. Second time using geopandas to make a map and I can now work with two vector layers in python!
By The Spatial Data Manipulator (@GIS_Manipulator)
#30DayMapChallenge day 29 experimental. Trying to recreate something I saw @jwoLondon (or possibly @jsndyks) do many years ago with a hand drawn look to their lines. Not sure it's really working but I have learned a lot about the geometry generator in #qgis
By Ian Turton (@ijturton)
#30DayMapChallenge 8. Green - Cities in Greenland
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge, day 28 funny is back to an old favourite of mine, based on the XKCD upside down map.
By Ian Turton (@ijturton)
Ma carte du jour (hexagonale) faite ce midi pour ce #30DayMapChallenge fait honneur aux z'usagers (cc @SheepTrain ) de la @LIGNER_SNCF, notre "fameuse" #TeamLigneR...merci @Carel74369303 pour le gros coup de main, et désolé à ceux qu'on a oublié (ou pour les erreurs !) Bisous 😘
By Rom' Moyon (@RomMoyon)
Day 19 of #30DayMapChallenge - Urbain Rennes buses "C" and subways in Rennes 2020 #urbain #mobilite #metrobus #rennes @metropolerennes @keolisrennes
By Ben (@benfriin)
A bit late to the party, but here is @cristinapoiata and my take on day 13: Tracks for the #30DayMapChallenge. We decided to map the Glacier Express train route through the Swiss🇨🇭Alps🏔️. #dataviz #geography #cartography
By Richard Zimerman (@RichardZimerman)
Vihorlat-Gutin Area part of the Inner Eastern Carpathians #30DayMapChallenge Day 11: Elevation #SRTM #OpenStreetMap contributors #QGIS
By gontsa (@gontsa)
#30DayMapChallenge 13 Track - Late, but wanted to visualize past typhoon data on JMA site (https://t.co/YAjTzwrYBU). Here's few of different attempts visualizing path of typhoon since 2001 - 2019. #rstats code: https://t.co/QYPCnU4dCB
By Chisato (@chisatini)
Municipal boundary & blocks Day 3:Polygons #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Areas with the highest influx of pedestrians Day 10:Black and White #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
Jumping in late to #30DayMapChallenge 🗺️ Day 5: raster - with a butcher's job from the airport on 250 year maps of #Budapest and Klausenburg (#ClujNapoca/#Kolozsvár). 🤪Can only get better in the rest of the month. BTW credit for the historical map is #Mapire by #Arcanum #Hungary
By Dénes Csala (@csaladenes)
#30DayMapChallenge day 14 Borders. LAU (Local Administrative Units) contiguities network In Sardinia Made in #rstats with #spdep source: @istat_it
By Andria Tzedda (@Andria_Tzedda)
#30DayMapChallenge Day 16: Zones - A Visual Display of Time Zones My daughter was asking me about daylight savings and curious about time zones around the world so we sat down and made a fun visual (colors inspired by a set of pastel colored pencils we had lying around)
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 23 - Population: Just population points of Syracuse, Rochester, and the Finger Lakes! (I'm losing steam😫...must...finish...the month...)
By Tim St. Onge (@TimStOnge)
#30DayMapChallenge Day 29: Experimental the United SHAPES of America Tools:@ArcGISPro Really wanted to play w/ blender but no time. I did find ‘Pitch Perfect’ a mapping experiment by @kennethfield and thought about mapping NHL areas but settled on the US. I had fun w/ this one.
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Yellow. Solar energy potential in downtown Indianapolis.
By Peter Atwood (@Peterincan)
Day 13 of #30DayMapChallenge is Tracks: One of our employees had a bit of an adventure through South America and recorded his overnight stays. #peoplewholiketotravel #QGISrouting
By Positium (@positium)
Para el último día del reto #30DayMapChallenge, tema 'home', un mapa injusto, casi 60 000 #desahucios en España en 2018. Fuente: mapa del @IGNSpain y datos del @PoderJudicialEs .
By Pedro Suárez (@pedro_com_es)
#7Red ... Cartograma Aseguramiento de Armas en México (Gun Control in Mexico) ... experimento de hace años, que no vio luz! #30DayMapChallenge #MathematicaWolfram
By Emmanuel (@Landa23)
Elevation of urban areas #CDMX and surroundings Day 11: Elevation #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 5 #Raster 🏢🌏🐝 Airbnb beds Listed in AirBnb #Barcelona. #insideairbnb September 2019 Pixel size 100m using @qgis (Data from https://t.co/29ZE0Xt0Gz) #gischat #geography #raster
By Diego Pajarito G. (@diegopajarito)
Rural theme for #30DayMapChallenge! * first map shows the village count for states. Uttar Pradesh has the highest number (106704) followed by Madhya Pradesh (MP) * second map shows rural area coverage across states - Rajasthan tops the list with maximum coverage, followed by MP
By Ramya Ragupathy (@ramya_ragupathy)
40 years of arctic sea ice extent in September. Blue outline showing the 1979 extent. Created with QGIS. Data from @NOAA. #30DayMapChallenge Day 25: Climate
By Topi Tjukanov (@tjukanov) in Finland
#30DayMapChallenge 2. Lines Designated routes for bicycles #Brussels vs. #Amsterdam source: @openstreetmap rendering: #keplergl
By Karim Douïeb (@karim_douieb)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper @karim_douieb @Datawrapper #30DayMapChallenge nr 28 (funny): You will never look at Austria on a map in the same way after this https://t.co/pkAHtdfeEg
By Maarten Lambrechts (@maartenzam)
Bon, du coup je me lance modestement avec ce que j'ai en stock. Jour 17 - Zones - #30DayMapChallenge Les scores de la droite par canton aux élections législatives de 1902, 1906 et 1924 dans le #Morbihan.
By Aurélien (@pivaurelien)
Mapping tree density in Kos for day 21 of the #30DayMapChallenge!
By Antonia Blankenberg (@blanky343)
For today's #30DayMapChallenge prompt "raster," I have maps of nighttime light data collected by NOAA satellites averaged over a year. These "light pollution" data are useful as a proxy for development or rurality and are just generally fun to play with.
By Will Bonnell (@_willdebras)
@jdatap @jmcastagnetto #30DayMapChallenge with #rspatial 21/30. Environment. What are the World annual precipitations?🌧️ Data from Worldclim. Use {raster} and {rgl} like in my previous blog post 🌐: https://t.co/sZHJPIYT24 #rstats
By Sébastien Rochette (@StatnMap)
#30DayMapChallenge - Day 21 - Environment - Earthquakes since 2000, in and around the UK. Downloaded from @BritGeoSurvey and run in #CadcorpSIS #GIS
By Cadcorp (@cadcorp)
¡Este mapa debería ser mucho más verde! El abandono del campo de Gran Canaria para el #30DayMapChallenge Fuentes: @IGNSpain y @AGRI_Gobcan
By Pedro Suárez (@pedro_com_es)
#30DayMapChallenge 2. Lines Vineyard density in France Obviously with the help of @cartocalypse code for #QGIS 3.10
By Romain Lx (@lacxrx)
Day 5 Raster #30DayMapChallenge Kapiti Island made with #blender Data: LINZ Wellington 0.3m Rural Aerial Photos (2012-2013), LINZ Wellington LiDAR 1m DEM (2013)
By Leo (@hendrikxleo)
#30DayMapChallenge Yellow - Loving Vancouver Open Data portal (https://t.co/gJGBXL5uY8), there was datasets on street light in Vancouver. Over 56K street lights records are recorded. So here's the map with 56K tiny yellow dots. #rstats
By Chisato (@chisatini)
[EN] Zurich in 3D incl @ETH_en https://t.co/KJKfeL1amO #30DayMapChallenge #urban @cesjumjs #urban
By geo.admin.ch (@swiss_geoportal)
#30DayMapChallenge Day 15 : Names - Prénoms composés parmi les membres des conseils municipaux du Nord #RStats #OpenData #Nord https://t.co/9PslENAs3q
By Cécile Rodrigues (@Grisoudre)
#30daymapchallenge 15 - names Buildings in London with some form of royal connection in the name. done in #alteryx and #tableau. sneaky #mapbox in there too. not bored of this map style yet... 1 trick 🐴... https://t.co/StgO3aYzlD
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 8: Green Concept for woodland habitat connectivity #b3d #fme
By Owen Powell (@owenjpowell)
#30DayMapChallenge 10. Black/white We plotted al the street lights in the city centre of Amsterdam, and found out you can easily recognize the old canals. Plus who needs a basemap anyway? 😀 Zoomable version 👉🏻https://t.co/HafjC1KHLy
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge late to Day 10 - Elevation (spent lots of computing time testing #rayshader) A snapshot of Uruguay: a slightly ondulating peneplain [Uruguay y la "penillanura levemente ondulada"] #rstats #rstatsES #datosdemiercoles
By Daniela de los Santos (@danidlsa)
Concentraciones de robo a transeúnte con violencia en la Ciudad de México (víctimas en carpetas de investigación). Hechos de enero a junio 2019. #30DayMapChallenge Day 04 - Hexagons.
By Daniel Vigil (@d_vigilr)
#30DayMapChallenge Day 6 - Blue I resisted the temptation to play with water and looked at the boy band "Blue" instead. Here is every concert they ever played, geocoded and linked in order on a nice blue globe. If I'd had more time I'd have animated it.
By Sweary Dave (@citizenfishy)
Day 4: Hexagons! #30DayMapChallenge These maps show the percentage overlap with the World Database on Protected Areas (WDPA) in the US, Alaska and Hawaii. Data: https://t.co/PhSmqvRWoZ
By Leo (@hendrikxleo)
#30DayMapChallenge 17 - zones bathymetric "zones" (too tenuous?) around Japan highlighting the deep ocean trench. will be difficult to get your head around because the focus is ocean not land. but...here we are - #alteryx #tableau https://t.co/cGfYBDe84Y
By A. D. Mac (@AdiBop_)
Hexbinning Manhattan Bars. Day 4 of the #30DayMapChallenge is to create a map with hexagons. This interactive map shows you New York's hot spots based on the density of bars. https://t.co/gjfG2OmodH
By gmapsmania (@gmapsmania)
#30DayMapChallenge #Day18 Globe - as an avant garde statement in favour of globes, I've gone a bit around my elbow by mapping Magellan-Elcano's famed first circumnavigation... of a CUBE. Because a globe would make this much clearer, ya know?
By Maedhbh Nic Lochlainn (@niclochg)
Day 5 #30DayMapChallenge is raster, so here is a terrain map of GB. Built using #GeoServer and #qgis and @OrdnanceSurvey open data.
By Ian Turton (@ijturton)
#30DayMapChallenge 🗺️ Day 7: red 🔴 The topography of Mars - Tharsis region Data source: MOLA Tools: #rstats #rspatial #ggplot2 📈 #Mars #terrain #map #planet
By Mirza Cengic (@mirzacengic)
Un mapa de cada barrio de la CDMX. #30DayMapChallenge Day 30: Home
By Baruch (@datavizero)
Day 5 of the #30DayMapChallenge Raster: Fishing activity in the strhttp://ibrm.aquacross.eu/it of Gibraltar #Globalfishingwatch #storytelling https://t.co/HuT7Q2Sl8Q
By Juan Arevalo (@arevaju)
Hydrology. Not sure if beavers move rivers, humans sometimes do. Like in Koskenkylä, PERNAJA (💪), Finland. I remember this being mentioned in one of my old geography textbooks. Data: @Maanmittaus #30DayMapChallenge #pernaja #koskenkylä #forsby
By Faris Alsuhail (@AlsuhailFaris)
#30DayMapChallenge #Urban En México existen 4,563 localidades clasificadas como urbanas por el #INEGI en el Marco Geoestadístico. #maps
By marko gutierrez (@GutierrezyMarco)
Day 29 of the #30DayMapChallenge : we explored our artistic side this time with a watercolour map of the world. Only 1 more day to go! #maps #world #watercolor #art
By Positium (@positium)
#30DayMapChallenge Day 4: Hexagons I've dipped my toes into rayshader before, but this was a chance to do so again. Here's the rate of households with median incomes >$150K in Chicago. Height and color are based on percentage. All done with #rstats.
By Jerry Shannon (@jerry_shannon)
#30DayMapChallenge Day 15. Names. I'll be classical. All the swear words I have uttered during this challenges as places in Finland. Other commonly used swearwords as places, but did not enter the map are: dick/kyrpä (130), satan/saatana (3) and ars/perse (331). Sorry about this.
By Sanna Jokela (@SannaJokela1)
Day 7 Red : map of a convenience store, Seven-Eleven, data source from OpenStreetMap contributors. セブンイレブンの分布図。公式HPには2019年10月末時点で21,009店舗あるとのこと。OSMには6,497店舗登録されているので、OSM登録率は31% #30DayMapChallenge
By mits miyake (@mmits003)
#30daymapchallenge Day 09: yellow Population in urban area Santiago, Chile (INE, 2017)
By Mauricio González (@magonza9)
#30DayMapChallenge Day 16 #Places Museos en la Ciudad de México #QGIS
By Carmen Carro (@CarmenCarro_)
10e jour du #30DayMapChallenge (dont le thème est « noir et blanc »), je vous propose de nous réveiller tranquillement avec cette carte de la levée du jour à 7 h 43 précises ce 10 novembre 2019.
By Pierre Breteau (@pierrebrt)
Day 10 of #30DayMapChallenge – Black and White: Mount Ruapehu's ski areas
By Andrew Tyrrell (@SouthArrowMaps)
Day 11 of the #30DayMapChallenge is elevation, so I revived an old experiment. The contour of 90 days of #snow cover per year for the Clutha Catchment, NZ. Symbolised by elevation. It's weird, but interesting. Snow cover data is from MODIS. #spatial #remotesensing ❄️🏂🏔️
By Todd Redpath (@toddrednz)
#30DayMapChallenge Day 2: Lines Speeds at 08:00 and 23:00 at the streets in Sao Paulo, Brazil, using VEIN #rstats More details here: https://t.co/u1Mqxk4MJ9
By Sergio Ibarra Espinosa (@SergioIbarraEs1)
Day 13 of #30DayMapChallenge - Tracks Road section - urban or otherwise #road #morbihan #urban #qgis @IGNFrance @MorbihanTourism @Qgis_Bzh
By Ben (@benfriin)
#30DayMapChallenge 2. Lines Elevation contours, Lysefjorden, Norway.
By Tore Halset (@torehalset)
#30DayMapChallenge 🗺️ Day 9: yellow 💛 Flag-map of Bosnia & Herzegovina 🇧🇦 Data source: GADM Tools: #rstats #rspatial #ggplot2 📊 #Bosnia #flag #map #Westendorp
By Mirza Cengic (@mirzacengic)
Density of trees of the Tilia family (linden) - the most common one here - in the Urban Tree Database of the City of Helsinki. #30DayMapChallenge 4. Hexagons. Code: https://t.co/J9dfnVEEYw #ggplot #Rstats
By Tuija Sonkkila (@ttso) in Finland
NASA's Daymet project allows for easy downloading of climatological data. For their first lab, my intro to GIS students visualize precipitation at county level using Daymet data. For today's #30DayMapChallenge (climate), here's a version of that map.
By Jerry Shannon (@jerry_shannon)
All commissioned and planned on- and off-shore wind farms in the UK. The far offshore sites are the CfD round 3 locations on Doggerbank. Late to the party for #30DayMapChallenge
By Ayrton Bourn (@AyrtonBourn)
#30DayMapChallenge Day 28: Funny - Save the Goondocks Tools:@ArcGISPro (pirate style @JohnNelson) and Illustrator (One-eye’d Willy’s Map from Muggle Magic) "Ye intruders beware. Crushing death and grief, Soaked with blood, Of the trespassing thief." #savethegoondocks #goonies
By Christopher Pollard (@CRVanPollard)
Day 4 of #30DayMapChallenge -hexagons. Bees make hexagons, so let's map bee plant diversity in Cornwall and pick the best place for bees to feed.
By Sweary Dave (@citizenfishy)
#30DayMapChallenge Day28: Fun Pipi like a STAR Rennes, stations vélo STAR qui se situent à moins de 150m d'un toilette public de la ville (pts jaunes). Parfaite information pour des retours de soirée arrosée et rester éco-responsable et hygiénique ! @STARmeparle
By Alice Caron (@Alice_Caron_)
#30DayMapChallenge Day 7: Red ✈️ Global flight paths... In red. Didn't have too much time this morning. A bit more experimental playing around with point focus and depth of field. #map #animation #3d #avgeek
By Craig Taylor (@CraigTaylorGIS)
So I fell off the #30DayMapChallenge there - but back at it again (now minus an appendix 😅) with #Day6 Blue and #Day7 Red. Water bodies for blue and for my red map, an example of how red has historic and current 'weightiness' in colour psychology of (mis)mapping. Spot my errors?
By Maedhbh Nic Lochlainn (@niclochg)
#30DayMapChallenge - Day 6 Blue Create a map of Pontianak City using @openstreetmap data and @qgis
By Adityo Dwijananto (@adisadit)
Check out this map I made together with @cristinapoiata for day 1 of the #30DayMapChallenge The map shows more than 3600 penguin colonies🐧, colored by species. #geography #cartography #dataviz
By Richard Zimerman (@RichardZimerman)
FInal day of #30DayMapChallenge is home, so here's a simple map of all the places I've called home over the years.
By Ian Turton (@ijturton)
Stumbled into #30DayMapChallenge 25 | Climate during some other work Mean daytime temperature for the United States—and visible BosWash urban heat island (with #EarthEngine and some help from this @jstnbraaten tutorial https://t.co/PECjPTFprm)
By Andrew Renninger (@AndrewRenninger)
Day 22 of the #30DayMapChallenge : Built Environment…Landuse from @nycgov PLUTO open data. Fair amount of green in the urban jungle. #IMNOS
By Patrick Nelson (@pnelson917)
For Day 7 of the #30DayMapChallenge the theme was Red. I looked at the incidents called in to fire stations around NZ during the week of Guy Fawke's 🔥This involved scraping the website, cleaning the data and doing a fuzzy merge w a geocoded list of firestations #rstats #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
#30DayMapChallenge Day 2: lines Bike lanes in Rome. All OSM data. I quite like how this turned out. You can see that there isn't that much connection between the bike paths. It would be lovely if Rome was a more bikeable city. You can also see the shape of the Tiber.
By Alyne Spencer Gonçalves (@alyne_daluz)
Dag 16, med tema steder måtte jeg bare sette sammen i en hast, for jeg må løpe på jobb. Her er i hvert fall kulturminner - enkeltminner i Oslo sentrum og hvilken hjemmel stedet/bygget er fredet etter #30DayMapChallenge #ukenskart
By Vetle Riis Hallås 🚡 (@VetleHallas)
Population. Revisiting one of old research themes from my urban research days: single households in Helsinki. #30DayMapChallenge #aluesarjat #yksinasuminen #helsinki #asuminen #väestö #population
By Faris Alsuhail (@AlsuhailFaris)
Urban Zones: Mexico City, Estado de México, Hidalgo. Day 19:Urban #30DayMapChallenge #lovepredictinglocations #BigData
By DESCIFRA (@DESCIFRA)
#30DayMapChallenge Day 20: From hyper-#rural to meta-urban: The blue points in the map show #urban areas in #Africa that emerged after 2000. Understanding Africa’s urban future, is also linked to rural areas today. 🌍 https://t.co/0ShJocIRzn
By SWAC OECD (@SWAC_OECD)
#30DayMapChallenge day 15: names. 2-letter place names in Southern Finland. Btw all of them are Swedish names. Data from @Maanmittaus geographic names #OGCAPI beta https://t.co/AdAhIwvzrV
By Teemu Saloriutta (@TeemuSaloriutta)
That's Earth, that's us. That pale point of blue light. Day 1 of #30DayMapChallenge, Points. #AmIDoingThisRight
By John Kennedy (@micefearboggis)
#30DayMapChallenge 6. Blue - LEGO Caribbean 🌊
By Shannon Gonzales (@yavannie24)
#30DayMapChallenge day 20: rural. @SYKEinfo kaupunki-maaseutuluokituksesta huomio kiinnittyi Suomenselän vedenjakajaseudun harvaan asuttuun alueeseen. Etsin sieltä kauimpana kaupungeista sijaitsevan pisteen: turvetuotantoalueella mutta vieressä hieno Salamajärven kansallispuisto. https://t.co/QMeJdvXILn
By Teemu Saloriutta (@TeemuSaloriutta)
Jokeri light rail line (plan). #30DayMapChallenge 3. Polygons. Yes, looks like a line but isn't. Code: https://t.co/sXYFBQENkS #ggplot #sf #rstats
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge, late in the Day 22. Built environment. Comparing #OSM building data map coverage in Dublin and Cork. Both are at same scale but Cork coverage is much patchier 🧐 The People's Republic could probably do with more Open Street Mappers, like...
By Maedhbh Nic Lochlainn (@niclochg)
Crecimiento Poblacional 2000-2010 en Queretaro (Municipio) Day 24: Statistics #30DayMapChallenge #lovepredictinglocations #BigData #México
By DESCIFRA (@DESCIFRA)
Day 15: Names Voting bias across London in local elections. Candidates with names that appear towards the top of the ballot paper receive more votes (top rows in each borough darker in map). https://t.co/gsJYW3p4zB Workings & data: https://t.co/HiiewBXPN7 #30DayMapChallenge
By Jo Wood (@jwoLondon)
#30DayMapChallenge Day 15 - Names. So using #osm, I decided to take a quick look at streets named like me! #samuel
By Sam J (@samwise_v)
#30DayMapChallenge 25. Climate🥵🥶 For the climate day i map extreme temperature data from the @CREDUCL 2014-2019 42 countries >5Mio people got affected >10.000 people dead #maps #rstats #ggplot #eu #climate #FridaysForFuture #temperature #Heatwave #sdg13 #SDGs #ClimateChange
By Olga Kononykhina (@bettermeasured)
Kyiv traffic light (signals) #30DayMapChallenge Day 01: Points #openstreetmap #qgis
By gontsa (@gontsa)
#30DayMapChallenge Day 25. Hydrology We used @openstreetmap data to map the most important natural (🔵) and men-made (🔴) waterways in The Netherlands. As you can clearly see, canals and rivers are like the veins of the country. Large version 👉🏻https://t.co/xjR91lNTLr
By LocalFocus (@LocalFocusNL)
#30DayMapChallenge Día 12. Movimiento. Una mañana del sistema Mi Transporte en Puerto Vallarta, Jalisco. Conoce más acerca de esta forma de recorrer la ciudad costera en: https://t.co/SngYb4mK0Z
By IIEG Jalisco (@IIEGJ)
#30DayMapChallenge 5. raster: Forest loss in Estonia from 2001 - 2018 estimated by remote sensing data (Hansen et al. 2013; Science).
By Evelyn (@evelynuuemaa)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 16. Places #30DayMapChallenge With almost 30,000 pubs and bars, this map shows where they are located throughout the Mexican territory. The data is from DENUE (@INEGI_INFORMA). #Map #Mexico #Beer #pub #Thirsty
By D. (@daniel_isita)
Norway has a few wind power stations in operation (red), and some new ones underway (orange). Size represents effect (watt). #30DayMapChallenge Day 7: Red Data from @NVE
By Jon Olav H. Eikenes (@jonolave)
Day 4 of #30DayMapChallenge — Hexagons Density of bombs dropped on London at night during the Blitz (Oct 1940 to June 1941). 🔴 Less bombs 🔶 More bombs Tools: QGIS Data: Bomb Sight by University of Portsmouth, @openstreetmap
By Robin Hawkes (@robhawkes)
Dia 7: Vermell. Zones Urbanes a Catalunya. Font: CORINE Land Cover 2018 (Nivell 2: 1.1 &1.2) Day 7: Red. Urban Areas in Catalonia. #QGIS #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
#30DayMapChallenge nr. 7, "Red" en na gisteren was het best mogelijk om te variëren op die kaart. Maar dat is te makkelijk, bedenk maar eens wat anders.
By Bart Broex (@bbroex)
#30DayMapChallenge Day 11 #Elevation 🗻 Level curves in Mexico City [2,300- 3,800] #QGIS
By Carmen Carro (@CarmenCarro_)
#romania #opendata #30DayMapChallenge https://t.co/9LSdqFW5Jt
By Justin Meyers (@MapMakinMeyers) in USA
Día 1: Puntos Ubicación de las comunidades #mixes en el estado de Oaxaca. La región #mixe se ubica al oriente del estado; la mayor concentración de localidades está al occidente de la región mixe, aunque también hay varias localidades en la zona ístmica. #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge 2. Lines: All streams in Estonia.
By Evelyn (@evelynuuemaa)
#30DayMapChallenge 26: Hydrology A simple side-by-side map of Philadelphia's streams, historic and current. So much of the city has been paved over, most streams are underground now. I added hillshade for visual effect. Data from @opendataphilly and @USGS
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge 18 - globe Earthquakes of the Americas on an azimuth orthographic projection. Needed @mapsOverlord tutorial to get back into #tableau & #mapbox. #qgis to create the custom projection (using @sdbernard YT tutorial) 🌎https://t.co/Lf1c4RJ87J
By A. D. Mac (@AdiBop_)
#30DayMapChallenge Day 18: Globe. The Big One, and the one in Stockholm a.k.a Ericsson Globe https://t.co/eonwt0uhLU. All the code of https://t.co/Ld3Jl9QPCI thanks to https://t.co/Luu2Ui5gN9 by @espinielli except for the tiny magenta dot. #ggplot #sf #rnaturalearth
By Tuija Sonkkila (@ttso) in Finland
#30DayMapChallenge Day 9: Yellow Urban Built-up Areas of Bangkok and Thailand 2000 Made with #qgis Source: GHS-Built #gis #map #maps #socialgeography #cartography #mapart #thailand #dataviz #urban #urbanjungle #urbangeography
By Note Dherapat (@prospero021)
#30DayMapChallenge Jour8 : Green. Points de recyclage des sapins de Noël à Paris en 2017. L'occasion de découvrir #magrit
By Marlène Dorgny (@MarleneDorgny)
For #30DayMapChallenge, day 7 ("Red"), I decided to match up OSM buildings with those shown in the county records. The central portion of the county, which includes UGA, is well represented, but there's large gaps on the east side and also the northwest. Made with @QGIS.
By Jerry Shannon (@jerry_shannon)
Población de la ciudad de Las Palmas de Gran Canaria emigrada a otros países. Datos del año 2015, del portal de datos abiertos del @AyuntamientoLPA. Para el día 14 del #30DayMapChallenge 'boundaries'. Mapa del mundo de @EU_Eurostat.
By Pedro Suárez (@pedro_com_es)
Day 14 of the #30DayMapChallenge with the theme Boundaries. I mapped the proportion of home ownership in Auckland by meshblock (meshblock boundary - okay, the link is a bit weak 😆) You can see an abrupt shift from Kohimarama to Glen Innes & high lvls of ownership in Titirangi
By Emma Vitz (@EmmaVitz) in New Zealand
Day 5 of #30DayMapChallenge (raster): locations of buildings in Estonia (in 2017) depicted by address points (data: Estonian Land Board address database) #builtenvironment #location #maps #dataviz
By Positium (@positium)
#30DayMapChallenge 6. Blue: What if we flood Estonia up to 100m 😋🤪🌊💦
By Evelyn (@evelynuuemaa)
Day 17 of #30DayMapChallenge – Zones: New Zealand's Exclusive Economic Zone
By Andrew Tyrrell (@SouthArrowMaps)
@openstreetmap Dia 17: Zones. Tot i que no es veuen amb detall totes... :P Seccions censals de Barcelona, Tarragona, Girona i Lleida. Les seccions censals constitueixen la unitat territorial més petita a les que es refereixen les dades estadístiques poblacionals. (ICGC) #30DayMapChallenge
By Gerard M. Porras (@Gerardathletics)
@f_l_o_u_r_i_s_h @Stad_Antwerpen @hnshck @igeolise @Runkeeper #30DayMapChallenge nr 21 (environment): Ecological value in my municipality (Diest, Belgium)
By Maarten Lambrechts (@maartenzam)
Day 11 of the #30DayMapChallenge : Elevation…Not sure why I need Antenna elevation LOS over the Ocean, but possible anyways. #IMNOS
By Patrick Nelson (@pnelson917)
Day 1 ... er, 22 of the #30daymapchallenge: Built Environments! Threw this silliness together quickly except for the part where I *may* have done some building digitization. Used #OSM #qgis and briefly, https://t.co/200EVufsTr.
By Diane Fritz ❄️ 🚲 🐕 (@fritzGIS)
Day 1 - Points! All of the listed buildings in the UK colour coded for grade. Data from @opendatani @HistEnvScot @HistoricEngland and @NatResWales. #30DayMapChallenge
By Brian Johnston (@Geo_BrianJ)
Poltava. Public GPS Track Visitors and residents create their own urban fabric. #30DayMapChallenge Day 13: Tracks #OpenStreetMap contributors #QGIS
By gontsa (@gontsa)
#30DayMapChallenge Día 9. Amarillo. Club de fútbol más popular por cada estado de #Mexico según las búsquedas reportadas por Google Trends. #Rstats con datos de Google Trends. #SOMOSAMERICA #CruzAzul #EstoEsTigres #CanteraRojiblanca ⚽️
By Juvenal (@JuvenalCamposF)
@EuroGeographics @TellusGSI Day 6: European river catchments @EUEnvironment, plotted with a blue colour palette #ggplot2 #rstats #30DayMapChallenge Code: https://t.co/y6OcXWFQGW
By Javier Elío (@Elio_Javi)
Carte interactive et en 3D des logements en France : nombre de logements, type, année de construction, superficie moyenne en m², etc... Cartographie réalisée une fois de plus avec les données carroyées de l’Insee. #30DayMapChallenge https://t.co/eBSS5MHbyM
By visualizemap (@visualizemap)
Day 8 (Green) - fiddling with LIDAR data for the first time (more or less). This is a small area of Hoosier National Forest and Lake Monroe just southeast of Bloomington, IN - pretty great to have statewide LIDAR data available. Nice job #Indiana! #30DayMapChallenge
By Garret Merle (@gmsooner)
#30DayMapChallenge 3/30 Polygons. Dunes and heath on Texel. By @BNiene
By cartiqo (@cartiqomaps)
#30DayMapChallenge 2.Lines Hobart, 2m interval contours
By Simon Jackson (@SimonGIS)
#30DayMapChallenge 29. Experimental Misanthropic anticartogram of European population density Made with #QGIS
By Romain Lx (@lacxrx)
#30DayMapChallenge Day 21: Environment Slash-Burn agriculture in the Amazon. #gis #geographyteacher #geography #cartography #maps #map #amazon #landsat #Landsat
By MyPhysicalWorld (@my_physical)
#30DayMapChallenge Dia 6. Azul (Blue) Mapa que muestra la Aportación de los municipios al total de votos por @ECardenasPuebla en las extraordinarias para gobernador de Puebla. Como se ve aquí, prácticamente 1 de cada 2 votos se obtuvieron en un solo municipio. #rstats
By Juvenal (@JuvenalCamposF)
Late entry for @tjukanov's #30DayMapChallenge day 2: lines Rivers of London (if they were lines of uniform width)
By Martin 🚡 (@MartinBangratz)
Day 26: Hydrology #30DayMapChallenge River basins in Australia Data: https://t.co/1kUz54KFJc
By Leo (@hendrikxleo)
Day 13: Tracks 9 long and hilly tracks I've ridden on my bike. Line thickness proportional to elevation. Start of ride in red. Uses @pinakographos profile mapping technique via circle sizing https://t.co/SLcjcBJ4xr Workings & data: https://t.co/srWcNxayFP #30DayMapChallenge
By Jo Wood (@jwoLondon)
A day late but joining the #30DayMapChallenge, day 1: points derived from #OSM and put together in #qgis
By Sam J (@samwise_v)
Bike Network: streets and paths that cyclists can use in #München (DE) Day 8: Green. - Data source: @openstreetmap - Map done with #OSMnx by @gboeing (network_type='bike') and @qgis #30DayMapChallenge
By Anna, Kerook (@kerooksblog)
Day 24 of #30DayMapChallenge - statistics Analyse bivariée - carroyage Identification des concentrations des ménages associés à leurs revenus. #opendata #menages #revenu #carroyage #QGIS @InseeFr @qgis
By Ben (@benfriin)
#30DayMapChallenge Day 4: Hexagons - Fast Food Nation Tools: @ArcGISPro #HappyMeal #DoubleWhopper #SUPERSIZEME
By Christopher Pollard (@CRVanPollard)
#30DayMapChallenge Day 4. Welfare levels in Mexico City —experimental model by mean of hexagonal cells.
By jlOlarteQ (@jlOlarteQ)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina 17. Zones #30DayMapChallenge Agricultural zones in Mexico. Data from @INEGI_INFORMA #QGIS #Map #Mexico #Agriculture
By D. (@daniel_isita)
Day 28 of the #30DayMapChallenge with the theme Funny! I decided to find the most common dog breeds in New Zealand, and the names that those breeds are most likely to have #rstats #rspatial
By Emma Vitz (@EmmaVitz) in New Zealand
Day 17: Zones I often get sucked into a very academic mindset which really kills my creativity and get quite stuck when an idea lacks purpose. So here is my most impractical map ever, Berghaus Star projection of the world’s time zones in mixed media PS brushes #30DayMapChallenge
By Allison Cully (@AllisonCully) in Canada
#30DayMapChallenge Day 26 – hydrology Finland’s river network and catchment areas (level 3); transboundary catchments not included. Data: @SYKEinfo, @pinnanalta #MadewithQGIS, #avoindata, #QGIS
By Thomas Banafa (@ThomasBanafa)
#30DayMapChallenge Tratando de ponerme al día. Dia 20. Rural. Ubicación y polígono de los 86 Distritos de Riego en México. #RStats con datos del Sistema Nacional de Información del Agua de @conagua_mx
By Juvenal (@JuvenalCamposF)
#30DayMapChallenge 24. Statistics What is culture? For the statistics day i #dataviz 2 surveys that asked 40K+ people in 43 countries this question #maps #rstats #ggplot #eu #culture #mena #russia #arts #spain #poland #germany #egypt #italy #ukraine #portugal #europe #ireland
By Olga Kononykhina (@bettermeasured)
Day 14: Boundaries #30DayMapChallenge Geological provinces in Australia. Data: https://t.co/Z0J2LKZCtv
By Leo (@hendrikxleo)
My little contribution to the #30DayMapChallenge Day 4 - Hexagons Percent of public green spaces per hexacell in Toulouse made with @qgis and @TlseMetropole for the data
By Tony Hauck (@Bill_Bluray)
Day 6 - Blue Next up in our #30DayMapChallenge is a our mention map! Thanks for the mention everyone!
By Tweepsmap (@tweepsmap)
#30DayMapChallenge 1. Points London street trees (source: GLA Environment Team) Green dots represent a street tree in central London, blue dots represent Ash species (potentially at risk of #Chalara / Ash dieback disease).
By Helen Cooper (@HelenOfStow)
Scrounged some 🕓 to catch up to tdy's "Yellow" #30DayMapChallenge w/some #rstats code to show where ☀️ was today + mixing it up a bit &using a Gall-Peters projection vs the fancy new equal 🌍 one I've been using. Code: https://t.co/vNG5NE2Afn + GL/BB/SrcHut/GitUgh.
By Bob Rudis (@hrbrmstr / boB Rudis) in USA
#30DayMapChallenge Day 7 - Red. I found all of the "Red" places in Great Britain and linked them up with the Travelling Salesman algorithm. Before you complain..only places with a distinct "Red" allowed.
By Sweary Dave (@citizenfishy)
my first day (build a map with points) for the #30DayMapChallenge ! web,map: https://t.co/UGL2SYmDaD data from: Inside Airbnb #gis #mapping #airbnb #nyc
By viv (@vivbynyc)
#30DayMapChallenge Day 10. Black and White. The legend is part of the map. If possible, put it within the map itself to better use the available space, not isolated from it. In the image below, (a) is right, (b) is wrong
By Víctor Olaya (@volayaf)
#30DayMapChallenge 21: Environment The #Delaware River basin land cover & hillshade, with inverted polygon shapeburst for cool drop shadow effect. Made in #QGIS 3.8 w/ @USGSLandCover & DEM
By Philip Pierdomenico (@PhilPierdo)
#30DayMapChallenge For todays challenge I tackled a ambitious full map of #NewZealand. Lot of work but I think it paid off.
By Carl Churchill (@Cchurchili)
The Border - Shown as 9336 commutes #30DayMapChallenge #Day14 #Boundaries @BorderIrish
By Heikki Vesanto (@HeikkiVesanto)
Day 4 of #30DayMapChallenge – Hexagons!!! Here’s honeybee occurrences in the U.S.
By ಠ_ಠ (@DeniseDSLu)
Day 7: Red "Detected Forest Fires (Confidence ≥ 80%) in the Last Four Years in #KalimantanBarat, #Indonesia" Data source: SiPongi Karhutla Monitoring System on https://t.co/QLMh9J9TOS; NPP (LAPAN) 2016-2019 Processed using: #esri ArcGIS Desktop 10.6 #30DayMapChallenge
By Rifqi Oktavianto (@rifqi_oktav)
#30DayMapChallenge Day 19. Urban ⏯ Visualize in time and space the 170 000 reports of the 311 application #dansmarue of @Paris (2014-2019) Dataset available on @opendataParis / made with #keplerGL
By Boris Mericskay (@BorisMericskay)
#30DayMapChallenge Day 12. Movement 🔀Daily work trips between the five largest cities of @ille_et_vilaine Dataset > @InseeFr // Made with #KeplerGL
By Boris Mericskay (@BorisMericskay)
#Metrobus #CDMX rastreo en vivo, visualizando una hora de 9-10am. #30DayMapChallenge Tracks #MovilidadCDMX @MetrobusCDMX
By Carlos Cortés (@jccpmx)
#30DayMapChallenge Day 5 - Rasters Flood mapping with Sentinel 2 data EO Browser. NDWI Values are good measures for mapping floods: (B3 - B8)/(B3 + B4). #flooding #beledweyne #Somalia
By Abdishakur (@shakasom)
This map shows where you're more likely to find a rural juror in the continental US. Inspired by #30Rock --> https://t.co/gTS5dqXgmg. #30DayMapChallenge Day 20 #Cartography
By Riley D. Champine (@rileydchampine)
Our black & white map for Sunday's theme of #30DayMapChallenge looks stunning, don't you think? Have a look here: https://t.co/BEfbVDajfZ
By Emu Analytics (@emu_info)
#30DayMapChallenge day 25: a greenhouse gas emissions map of Europe // #climate // data by @EUEnvironment
By Michel Stuyts 🌍 (@michelstuyts)
#30DayMapChallenge Day 18 : Globe - Pays des villes jumelées avec les communes des Hauts-de-France #HdF #RStats https://t.co/jaWVbcf1KU
By Cécile Rodrigues (@Grisoudre)
Día 28: Divertido / #Yïkxekp Un mapa de las #naciones de #Oaxaca en estilo #Lego #30daymapchallenge
By Colmix (@Colmixe)
#30DayMapChallenge Jour7: Red. Une cartographie de films dont le nom de la sortie française comprend le mot "Rouge". Source: @allocine
By Marlène Dorgny (@MarleneDorgny)
@Syracuse1848 #30DayMapChallenge Day 11: Elevation Elevation maps of Syracuse - there is a reason they say that @SyracuseU is on The Hill! Data: https://t.co/V455PU6i6j Code: https://t.co/6Ifx2nllqD Tools: #rstats #ggplot2 #opendata
By Sam Edelstein (@samedelstein)
Day 06: Blue. The Rivers and Lakes (sometimes loughs!) of the Island of #Ireland #opendata @opendatani @GovDataIE #30DayMapChallenge #GIS #Mapping
By Conor Graham - Geography Jedi 🏞️ 🛰️ ⛰️ 🌋 🌎 🌏 🌍 (@GeoConor)
Este es el mapa que hace pocos meses nos rompía el corazón en #Canarias. El terrible #IFvalleseco con los datos de @CopernicusEMS. Para el #30DayMapChallenge : Zonas.
By Pedro Suárez (@pedro_com_es)
A subset of places in India marked as cities and towns on @openstreetmap for #30DayMapChallenge
By Ramya Ragupathy (@ramya_ragupathy)
#30DayMapChallenge Day 27: Resources. Inden open pit #lignite mine in North Rhine-Westphalia, Germany. The profile shows how the Wang & Liu fill sinks algorithm fills up the pit. #opendata: #SRTM #OpenStreetMap. #opensource software: #QGIS #SAGA. #hydrology @ihedelft
By Hans van der Kwast (@hansakwast)
Day 12 of the #30DayMapChallenge : Movement…Using @wsferries GTFS current vehicle positions to track movement of ferries through automated #IMNOS widgets.
By Patrick Nelson (@pnelson917)
Mi contribución para el #30DayMapChallenge. Día #1: Puntos con el 📦 {leaflet} #Rstats #datosdemiercoles
By Gráficos y Métricas (@gmbeisbol)
@INEGI_INFORMA @tjukanov @datavizero @CONAPO_mx @MaratonLala @zoeperegrina @globalforests 26. Hydrology #30DayMapChallenge In his book (Prisoners of Geography), @Itwitius explains how the US achieved rapid development thanks to its navigable rivers (especially the Mississippi) unlike other countries such as Mexico. #rivers #maps #mexico #qgis
By D. (@daniel_isita)
#30DayMapChallenge Uzbekistan is one of the worlds leading cotton producers, but the massive amount of water required for its cotton fields have helped drain the Aral sea, shrinking it into a tiny portion of its pre-modern boundaries.
By Carl Churchill (@Cchurchili)
Day 3 of the #30DayMapChallenge: Polygons…ZipCode polygons for US Census data of what percentage of renters live in the SF Bay area. #IMNOS
By Patrick Nelson (@pnelson917)
Day 26 of #30DayMapChallenge - hydrology Analyse du PH en Normandie ! #API #hydrologie #nitrates #qualite #eau @RegionNormandie
By Ben (@benfriin)
#30DayMapChallenge Day 2⃣4⃣ Statistics: Average number of @openstreetmap contributors per day in each world country (from 1/11/2018 to 15/11/2019). Kudos to the German & US communities 🎉 Countries from Natural Earth, OSM statistics from @pascal_n (https://t.co/hm6NFMwJSE)
By Marco Minghini (@MarcoMinghini) in Italy
#30DayMapChallenge 29: eksperiments. Sagrozīt datus tik ļoti, ka reljefs apgriežas otrādi un dziļākais ezers kļūst par lielākā dziļuma resnu lēkšojošu suņuku.
By Zane (@atdodkonfektes) in Zane Atstāja
for #30daymapchallenge boundaries day here are @geolytix shopper town boundaries and hierarchies.
By GEOLYTIX (@Geolytix)
Day two of the #30DayMapChallenge (lines)... Here's an animation of the 2020 #MLB schedule
By Daren Willman (@darenw)
Day 22: Built Environment How has my place of work changed over the years? Two maps of Clerkenwell, London – one in 1805 and one today. Workings & data: https://t.co/keeQBAeUsF #30DayMapChallenge
By Jo Wood (@jwoLondon)
Day 6 of the #30DayMapChallenge : Blue…Went to IMNOS-MT for this one since I love the blue background maps for night view. #IMNOS
By Patrick Nelson (@pnelson917)
#30DayMapChallenge Day 14 - Boundaries Falling off the challenge somewhat, but here's one a day late anyway. This animation is a map of Auckland isthmus showing school zones being introduced. These zones can both reflect existing boundaries and create new boundaries.
By Timmy (@gallicist)
Day 3 of #30DayMapChallenge: Polygons. @cristinapoiata and I mapped biodiversity hotspots in the Americas 🌎, based on data from @CommunityCEPF. Biodiversity hotspots are biologically diverse yet threatened terrestrial areas. #cartography #geography #dataviz
By Richard Zimerman (@RichardZimerman)
